Chengyi(Jennifer) Gong
B2B Market Analyst Intern at HearMe- Claim this Profile
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Bio
Credentials
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Tableau Desktop Specialist
TableauOct, 2023- Sep, 2024 -
Bloomberg Market Concepts Certificate
BloombergSep, 2023- Sep, 2024
Experience
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HearMe
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Ireland
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Non-profit Organizations
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1 - 100 Employee
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B2B Market Analyst Intern
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Jun 2023 - Aug 2023
• Led user behavior and market trends analysis using Python Pandas and Matplotlib, identifying 8 actionable insights and selecting 3 high-potential B2B markets, facilitating collaboration and strategic decision-making across cross-functional teams. • Deployed Tableau to track 20 competitors’ activities against HearMe APP’s KPIs, boosting product competitive edge by 10%. • Executed sensitivity and cost analysis of product’s pricing standards using Excel VBA and Monte Carlo simulations… Show more • Led user behavior and market trends analysis using Python Pandas and Matplotlib, identifying 8 actionable insights and selecting 3 high-potential B2B markets, facilitating collaboration and strategic decision-making across cross-functional teams. • Deployed Tableau to track 20 competitors’ activities against HearMe APP’s KPIs, boosting product competitive edge by 10%. • Executed sensitivity and cost analysis of product’s pricing standards using Excel VBA and Monte Carlo simulations, optimizing pricing mechanisms by assessing the robustness, resulting in a $1M+ potential revenue increase. Show less • Led user behavior and market trends analysis using Python Pandas and Matplotlib, identifying 8 actionable insights and selecting 3 high-potential B2B markets, facilitating collaboration and strategic decision-making across cross-functional teams. • Deployed Tableau to track 20 competitors’ activities against HearMe APP’s KPIs, boosting product competitive edge by 10%. • Executed sensitivity and cost analysis of product’s pricing standards using Excel VBA and Monte Carlo simulations… Show more • Led user behavior and market trends analysis using Python Pandas and Matplotlib, identifying 8 actionable insights and selecting 3 high-potential B2B markets, facilitating collaboration and strategic decision-making across cross-functional teams. • Deployed Tableau to track 20 competitors’ activities against HearMe APP’s KPIs, boosting product competitive edge by 10%. • Executed sensitivity and cost analysis of product’s pricing standards using Excel VBA and Monte Carlo simulations, optimizing pricing mechanisms by assessing the robustness, resulting in a $1M+ potential revenue increase. Show less
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COST Association - European Cooperation in Science and Technology
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Belgium
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Non-profit Organizations
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1 - 100 Employee
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Research Student (Research Project Co-op)
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May 2023 - Aug 2023
Research Title: AI Solutions for Credit Risk Management - Towards Explainable Predictions • Adopted an innovative AI-based centrality impact assessment method in predicting P2P lending default risk across 5 models (Logistic Regression, Random Forest, Deep Learning, XGBoost, and Gradient Boosting) via H2O AutoML, yielding a significant 0.10 AUC score increase to 0.87 upon network feature integration. • Employed DeLong Tests and 5… Show more Research Title: AI Solutions for Credit Risk Management - Towards Explainable Predictions • Adopted an innovative AI-based centrality impact assessment method in predicting P2P lending default risk across 5 models (Logistic Regression, Random Forest, Deep Learning, XGBoost, and Gradient Boosting) via H2O AutoML, yielding a significant 0.10 AUC score increase to 0.87 upon network feature integration. • Employed DeLong Tests and 5 post-hoc explainability techniques to illuminate underlying AI model prediction mechanisms and presented to key stakeholders, enhancing model transparency and overall model understandability by 60%. Show less Research Title: AI Solutions for Credit Risk Management - Towards Explainable Predictions • Adopted an innovative AI-based centrality impact assessment method in predicting P2P lending default risk across 5 models (Logistic Regression, Random Forest, Deep Learning, XGBoost, and Gradient Boosting) via H2O AutoML, yielding a significant 0.10 AUC score increase to 0.87 upon network feature integration. • Employed DeLong Tests and 5… Show more Research Title: AI Solutions for Credit Risk Management - Towards Explainable Predictions • Adopted an innovative AI-based centrality impact assessment method in predicting P2P lending default risk across 5 models (Logistic Regression, Random Forest, Deep Learning, XGBoost, and Gradient Boosting) via H2O AutoML, yielding a significant 0.10 AUC score increase to 0.87 upon network feature integration. • Employed DeLong Tests and 5 post-hoc explainability techniques to illuminate underlying AI model prediction mechanisms and presented to key stakeholders, enhancing model transparency and overall model understandability by 60%. Show less
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UNDP
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United States
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International Affairs
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700 & Above Employee
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Data Science Graduate Consultant
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Sep 2022 - May 2023
• Managed 3 TB data across 2 real-time databases by leveraging Google BigQuery, and utilized SQL to extract data for analysis. • Refined social media data by NLP technique of RNNs sentiment analysis, with anomalies identified through cross-validation with verified databases and real-time events and through conducting 3 exploratory data analysis, elevating sentiment recognition accuracy by 7% and delivering database documentation reports to the management team. • Crafted data cleaning and… Show more • Managed 3 TB data across 2 real-time databases by leveraging Google BigQuery, and utilized SQL to extract data for analysis. • Refined social media data by NLP technique of RNNs sentiment analysis, with anomalies identified through cross-validation with verified databases and real-time events and through conducting 3 exploratory data analysis, elevating sentiment recognition accuracy by 7% and delivering database documentation reports to the management team. • Crafted data cleaning and feature engineering pipelines for unstructured data using Python Pandas and executed on Azure, resulting in 50% improvement in data quality and 30% increase in analytical efficiency while optimizing memory costs. • Developed 7 machine learning models (3 Regressions, Random Forest, XGBoost, SVM and LSTM) in Python and Azure for Nigeria's 2023 Election time-series social unrest forecasting, achieving AP of 87% and AUC of 84% and preventing economic loss of $5M. Show less • Managed 3 TB data across 2 real-time databases by leveraging Google BigQuery, and utilized SQL to extract data for analysis. • Refined social media data by NLP technique of RNNs sentiment analysis, with anomalies identified through cross-validation with verified databases and real-time events and through conducting 3 exploratory data analysis, elevating sentiment recognition accuracy by 7% and delivering database documentation reports to the management team. • Crafted data cleaning and… Show more • Managed 3 TB data across 2 real-time databases by leveraging Google BigQuery, and utilized SQL to extract data for analysis. • Refined social media data by NLP technique of RNNs sentiment analysis, with anomalies identified through cross-validation with verified databases and real-time events and through conducting 3 exploratory data analysis, elevating sentiment recognition accuracy by 7% and delivering database documentation reports to the management team. • Crafted data cleaning and feature engineering pipelines for unstructured data using Python Pandas and executed on Azure, resulting in 50% improvement in data quality and 30% increase in analytical efficiency while optimizing memory costs. • Developed 7 machine learning models (3 Regressions, Random Forest, XGBoost, SVM and LSTM) in Python and Azure for Nigeria's 2023 Election time-series social unrest forecasting, achieving AP of 87% and AUC of 84% and preventing economic loss of $5M. Show less
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Changing Room
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United States
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Higher Education
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Data Science Graduate Consultant
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Sep 2022 - May 2023
• Architected general automation algorithms for web data collection and ETL process via Python and PostgreSQL, increased 25% product database volume and 20% data processing efficiency, leading to an overall business scalability by 15%. • Engineered search engine MVPs by conducting user experience research via routine customer interviews, applying the backend code by ElasticSearch and the user interface by Streamlit, boosting overall user numbers by 30%. • Optimized search engine’s search… Show more • Architected general automation algorithms for web data collection and ETL process via Python and PostgreSQL, increased 25% product database volume and 20% data processing efficiency, leading to an overall business scalability by 15%. • Engineered search engine MVPs by conducting user experience research via routine customer interviews, applying the backend code by ElasticSearch and the user interface by Streamlit, boosting overall user numbers by 30%. • Optimized search engine’s search process by A/B testing of Conditional Random Field techniques to identify color, types, and brand names, augmenting user satisfaction by 60% through 34% increase in search accuracy and 40% decrease in false positive rate. Show less • Architected general automation algorithms for web data collection and ETL process via Python and PostgreSQL, increased 25% product database volume and 20% data processing efficiency, leading to an overall business scalability by 15%. • Engineered search engine MVPs by conducting user experience research via routine customer interviews, applying the backend code by ElasticSearch and the user interface by Streamlit, boosting overall user numbers by 30%. • Optimized search engine’s search… Show more • Architected general automation algorithms for web data collection and ETL process via Python and PostgreSQL, increased 25% product database volume and 20% data processing efficiency, leading to an overall business scalability by 15%. • Engineered search engine MVPs by conducting user experience research via routine customer interviews, applying the backend code by ElasticSearch and the user interface by Streamlit, boosting overall user numbers by 30%. • Optimized search engine’s search process by A/B testing of Conditional Random Field techniques to identify color, types, and brand names, augmenting user satisfaction by 60% through 34% increase in search accuracy and 40% decrease in false positive rate. Show less
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Co-Founder
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Jan 2021 - Nov 2021
• Drafted channel promotional plans in collaboration with channel leads (email, social, web) & paid media experts, improving customer retention rate by 40%+ within three months. • Developed creative and content translating core brand messages to commercial and engaging online formats, bringing in 20% more web traffic within three weeks. • Identified untapped channels and provided recommendations to key stakeholders on driving incremental growth by 25%. • Defined 6 business… Show more • Drafted channel promotional plans in collaboration with channel leads (email, social, web) & paid media experts, improving customer retention rate by 40%+ within three months. • Developed creative and content translating core brand messages to commercial and engaging online formats, bringing in 20% more web traffic within three weeks. • Identified untapped channels and provided recommendations to key stakeholders on driving incremental growth by 25%. • Defined 6 business goals, roadmap, project scope, and desired outcomes for web content management that aligned with strategic marketing plans. • Led a team of 5 in the allocation of content resources. Laid out detailed project plans and contingency analysis via Python to ensure project delivery and effective usage of resources. Show less • Drafted channel promotional plans in collaboration with channel leads (email, social, web) & paid media experts, improving customer retention rate by 40%+ within three months. • Developed creative and content translating core brand messages to commercial and engaging online formats, bringing in 20% more web traffic within three weeks. • Identified untapped channels and provided recommendations to key stakeholders on driving incremental growth by 25%. • Defined 6 business… Show more • Drafted channel promotional plans in collaboration with channel leads (email, social, web) & paid media experts, improving customer retention rate by 40%+ within three months. • Developed creative and content translating core brand messages to commercial and engaging online formats, bringing in 20% more web traffic within three weeks. • Identified untapped channels and provided recommendations to key stakeholders on driving incremental growth by 25%. • Defined 6 business goals, roadmap, project scope, and desired outcomes for web content management that aligned with strategic marketing plans. • Led a team of 5 in the allocation of content resources. Laid out detailed project plans and contingency analysis via Python to ensure project delivery and effective usage of resources. Show less
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Swiss Re
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Financial Services
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Business Analyst Intern, Agricultural Insurance Department
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Apr 2021 - Aug 2021
• Devised big-data risk management platform by collaborating with engineers and product stakeholders, managing 5 datasets via SQL. • Designed 15 PowerBI dashboards to track core metrics and project P/Ls, aiding the development of 5 insurance products. • Formulated automated data processing pipelines in Python Pandas and NumPy to analyze 750 GB of industry data, leading to a 20-page insurance company evaluation report and revamped partner selection datasets, reducing expected annual loss… Show more • Devised big-data risk management platform by collaborating with engineers and product stakeholders, managing 5 datasets via SQL. • Designed 15 PowerBI dashboards to track core metrics and project P/Ls, aiding the development of 5 insurance products. • Formulated automated data processing pipelines in Python Pandas and NumPy to analyze 750 GB of industry data, leading to a 20-page insurance company evaluation report and revamped partner selection datasets, reducing expected annual loss by $70K. Show less • Devised big-data risk management platform by collaborating with engineers and product stakeholders, managing 5 datasets via SQL. • Designed 15 PowerBI dashboards to track core metrics and project P/Ls, aiding the development of 5 insurance products. • Formulated automated data processing pipelines in Python Pandas and NumPy to analyze 750 GB of industry data, leading to a 20-page insurance company evaluation report and revamped partner selection datasets, reducing expected annual loss… Show more • Devised big-data risk management platform by collaborating with engineers and product stakeholders, managing 5 datasets via SQL. • Designed 15 PowerBI dashboards to track core metrics and project P/Ls, aiding the development of 5 insurance products. • Formulated automated data processing pipelines in Python Pandas and NumPy to analyze 750 GB of industry data, leading to a 20-page insurance company evaluation report and revamped partner selection datasets, reducing expected annual loss by $70K. Show less
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Deloitte Consulting
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Italy
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Business Consulting and Services
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700 & Above Employee
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Data & Business Analyst
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Jan 2021 - Mar 2021
• Analyzed existing data pipeline to identify areas of data quality improvement and built interactive dashboards using Tableau to visualize historical financial performance over the past three years, identified potential anomalies for further root cause analysis. • Implemented QA processes for each step of the data pipeline, improving overall data accuracy by 30%. • Evaluated business processes, and anticipated requirements, and developed an automated data collection and… Show more • Analyzed existing data pipeline to identify areas of data quality improvement and built interactive dashboards using Tableau to visualize historical financial performance over the past three years, identified potential anomalies for further root cause analysis. • Implemented QA processes for each step of the data pipeline, improving overall data accuracy by 30%. • Evaluated business processes, and anticipated requirements, and developed an automated data collection and transformation system, reducing processing time by 25%. • Produced 6 key artifacts including business and functional requirement documents, user acceptance test plans, and test cases. Show less • Analyzed existing data pipeline to identify areas of data quality improvement and built interactive dashboards using Tableau to visualize historical financial performance over the past three years, identified potential anomalies for further root cause analysis. • Implemented QA processes for each step of the data pipeline, improving overall data accuracy by 30%. • Evaluated business processes, and anticipated requirements, and developed an automated data collection and… Show more • Analyzed existing data pipeline to identify areas of data quality improvement and built interactive dashboards using Tableau to visualize historical financial performance over the past three years, identified potential anomalies for further root cause analysis. • Implemented QA processes for each step of the data pipeline, improving overall data accuracy by 30%. • Evaluated business processes, and anticipated requirements, and developed an automated data collection and transformation system, reducing processing time by 25%. • Produced 6 key artifacts including business and functional requirement documents, user acceptance test plans, and test cases. Show less
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China Taxation Agency Co.
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China
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Accounting
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1 - 100 Employee
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Delivery Consultant
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Dec 2020 - Feb 2021
• Organized and verified 300+ clients' financial vouchers and drafted annual financial verification reports for 5 different clients. • Managed with 4 different departments and teams to discuss vouchers' details and negotiate with 30+ clients to confirm client's requirements on final vouchers. • Organized and verified 300+ clients' financial vouchers and drafted annual financial verification reports for 5 different clients. • Managed with 4 different departments and teams to discuss vouchers' details and negotiate with 30+ clients to confirm client's requirements on final vouchers.
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Education
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2022 - 2023
Columbia Business School
Master of Science, Management Science & Engineering -
2022 - 2023
Columbia University in the City of New York
Master of Science - MS, Management Science and Engineering -
2018 - 2022
University of Wisconsin-Madison
Bachelor of Science, Economics, Psychology (Double Major)
Community
