Shilpa Jha
Senior Consultant, Data & AI at Lovelytics- Claim this Profile
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Bio
Chongqi Wu
Ms. Shilpa Jha joined the Master of Science in Business Analytics (MSBA) program at Cal State East Bay in Fall 2020. MSBA is a STEM-designated program that offers a quantitatively and technologically challenging curriculum. These courses include Data Mining, Machine Learning, Deep Learning, Big Data Technologies, to name a few. Having a cumulative GPA of 3.9, Ms. Jha has been one of the best students during her study in the program. I am the founding director of the MSBA program and taught Ms. Jha two subjects: BAN 602 Quantitative Fundamentals for Analytics and BAN 670 Advanced Topics in Analytics. In BAN 602, Ms. Jha has learned a variety of statistical techniques with applications to business problems implemented in R. These techniques range from descriptive statistics, probability and probability distributions, sampling distribution and central limit theorem, to statistical inference with confidence interval and hypothesis testing, and linear regression. BAN 670 added various deep learning models to her technical repertoire. Having successfully been through the academic rigor of the MSBA program, Ms. Jha is fully prepared for the technical challenge of being a data analyst or data scientist. Ms. Jha also has a wonderful personality and strong communication capability which makes her a great team player. She will be a great fit for a role in data science and data analytics.
Chongqi Wu
Ms. Shilpa Jha joined the Master of Science in Business Analytics (MSBA) program at Cal State East Bay in Fall 2020. MSBA is a STEM-designated program that offers a quantitatively and technologically challenging curriculum. These courses include Data Mining, Machine Learning, Deep Learning, Big Data Technologies, to name a few. Having a cumulative GPA of 3.9, Ms. Jha has been one of the best students during her study in the program. I am the founding director of the MSBA program and taught Ms. Jha two subjects: BAN 602 Quantitative Fundamentals for Analytics and BAN 670 Advanced Topics in Analytics. In BAN 602, Ms. Jha has learned a variety of statistical techniques with applications to business problems implemented in R. These techniques range from descriptive statistics, probability and probability distributions, sampling distribution and central limit theorem, to statistical inference with confidence interval and hypothesis testing, and linear regression. BAN 670 added various deep learning models to her technical repertoire. Having successfully been through the academic rigor of the MSBA program, Ms. Jha is fully prepared for the technical challenge of being a data analyst or data scientist. Ms. Jha also has a wonderful personality and strong communication capability which makes her a great team player. She will be a great fit for a role in data science and data analytics.
Chongqi Wu
Ms. Shilpa Jha joined the Master of Science in Business Analytics (MSBA) program at Cal State East Bay in Fall 2020. MSBA is a STEM-designated program that offers a quantitatively and technologically challenging curriculum. These courses include Data Mining, Machine Learning, Deep Learning, Big Data Technologies, to name a few. Having a cumulative GPA of 3.9, Ms. Jha has been one of the best students during her study in the program. I am the founding director of the MSBA program and taught Ms. Jha two subjects: BAN 602 Quantitative Fundamentals for Analytics and BAN 670 Advanced Topics in Analytics. In BAN 602, Ms. Jha has learned a variety of statistical techniques with applications to business problems implemented in R. These techniques range from descriptive statistics, probability and probability distributions, sampling distribution and central limit theorem, to statistical inference with confidence interval and hypothesis testing, and linear regression. BAN 670 added various deep learning models to her technical repertoire. Having successfully been through the academic rigor of the MSBA program, Ms. Jha is fully prepared for the technical challenge of being a data analyst or data scientist. Ms. Jha also has a wonderful personality and strong communication capability which makes her a great team player. She will be a great fit for a role in data science and data analytics.
Chongqi Wu
Ms. Shilpa Jha joined the Master of Science in Business Analytics (MSBA) program at Cal State East Bay in Fall 2020. MSBA is a STEM-designated program that offers a quantitatively and technologically challenging curriculum. These courses include Data Mining, Machine Learning, Deep Learning, Big Data Technologies, to name a few. Having a cumulative GPA of 3.9, Ms. Jha has been one of the best students during her study in the program. I am the founding director of the MSBA program and taught Ms. Jha two subjects: BAN 602 Quantitative Fundamentals for Analytics and BAN 670 Advanced Topics in Analytics. In BAN 602, Ms. Jha has learned a variety of statistical techniques with applications to business problems implemented in R. These techniques range from descriptive statistics, probability and probability distributions, sampling distribution and central limit theorem, to statistical inference with confidence interval and hypothesis testing, and linear regression. BAN 670 added various deep learning models to her technical repertoire. Having successfully been through the academic rigor of the MSBA program, Ms. Jha is fully prepared for the technical challenge of being a data analyst or data scientist. Ms. Jha also has a wonderful personality and strong communication capability which makes her a great team player. She will be a great fit for a role in data science and data analytics.
Credentials
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Microsoft Certified: Azure Data Engineer Associate
MicrosoftJan, 2023- Nov, 2024 -
Microsoft Certified: Azure Fundamentals
MicrosoftOct, 2022- Nov, 2024 -
Databricks Certified Associate Developer for Apache Spark 3.0
DatabricksMar, 2022- Nov, 2024 -
Databricks Certified Data Engineer Associate
DatabricksSep, 2022- Nov, 2024 -
Partner Training - Solutions Architect Essentials
DatabricksMar, 2022- Nov, 2024 -
Partner Training - Developer Essentials
DatabricksFeb, 2022- Nov, 2024 -
Partner Training - Developer Foundations
DatabricksFeb, 2022- Nov, 2024 -
Academy Accreditation - Databricks Lakehouse Fundamentals
DatabricksDec, 2022- Nov, 2024
Experience
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Lovelytics
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United States
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Data Infrastructure and Analytics
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1 - 100 Employee
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Senior Consultant, Data & AI
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Sep 2023 - Present
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Machine Learning Engineer
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Feb 2022 - Aug 2023
Working and collaborating towards solving strategic business problems using data engineering and Machine learning techniques.
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Risk Insights Media
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Book and Periodical Publishing
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1 - 100 Employee
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Data Scientist
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Dec 2021 - Feb 2022
Create Recommendation algorithm to suggest new articles to users using NLP • Designed a text-based recommendation algorithm that outputs the top N articles to recommend to our users based on the similarity scores between the article they’re currently reading and all other articles existing in the database. • Used NLTK library to do the data preprocessing steps like removing special characters, removing stop Words etc. • Used TfIdf Vectorizer to transform text to feature vectors which can then be used for calculating similarity scores. Automate data collection process using Python and Selenium • Automate the data collection process using Selenium and Python scripts and worked on cleaning and transforming the raw data using Python libraries. • Created website where stakeholders can search with any keywords and specify date range to scrape the venture deals and merger details from Google. • Identified areas of improvement in existing business by analyzing vast amount of data using machine learning techniques. Show less
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Tata Consultancy Services
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India
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IT Services and IT Consulting
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700 & Above Employee
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Full Stack Developer
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Jun 2017 - Apr 2018
•Automated legacy manual Investigation process and replaced with automated, real time sync process reducing manual investigation time from 10 Business days to 24 Hours and reduction of 600~700 IT support cases QOQ ;saving lot of time and manual efforts. •Enabled real-time sync mechanism between core transactional and enterprise systems that maintain partner and customer hierarchies, channel partner information management tools, and profile registration; improving data quality and maintaining integrity of individual profiles and channel partner company attributes. •Developed a Web Application for onboarding Solution technology partners (1B$ Revenue generating Partner Community) . •Automated channel partner screening & risk assessment process at Enterprise level; improving data quality and reducing the processing time from 5 Business days to 10 mins. •Worked extensively and coordinated with DOCUSIGN team for managing the digital agreements and signatures of Cisco’s partners; reducing the database dependency and errors in maintaining and uploading the agreements. •Designed and developed a generic/reusable feedback, navigation bar component which can be used across all applications that are used by Cisco partner community. Show less
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Cisco Systems Services (UK) Ltd
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1 - 100 Employee
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Full-stack Developer
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Jun 2016 - May 2017
•Worked extensively on revamping the legacy functionalities by using latest technologies, providing better UI experience which helped in reducing the number of support cases. •Designed/Developed mockup’s based on business requirements/use cases. •Implemented apache Kafka for pushing data in real-time to the cross functional teams by replacing legacy back end jobs. •Created single page Web applications, making them compatible with various devices. •Maximized application’s efficiency by replacing Lucene indices to Solr indices, giving better search suggestions and results •Integrated Google map API’S to find the customers location as well as locating partners on map. •Developed REST API’s for providing partner information to the Market places, leading to faster data retrieval. •Prepared artifacts for Technical production support teams •Delivered Knowledge to the support teams on the newly developed Components. •Implemented SolrJ and written code for creating indices and performing other operations (reading, deleting, updating and more from Solr server) Show less
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Tata Consultancy Services
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India
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IT Services and IT Consulting
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700 & Above Employee
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Java Developer
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Mar 2013 - May 2016
•Developed a web application to expedite the Cisco Direct Partner registration; reducing the cycle time from 15 days to 24 hrs. •Integrated Click to chat component in one of the web Applications which provided better support to end customers . •Developed a SOAP API which provided partner details based on Keywords entered by users. •Worked on changing the document structure of Lucene indices to accommodate new business requirements. •Worked on Support Case analysis to understand the user behavior and pain points. Show less
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Education
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California State University - East Bay
Master of Science - MS, Business Analytics -
Chhattisgarh Swami Vivekanand Technical University, Bhilai
Bachelor of Engineering - BE, Computer Science