Experience

Appin Technology Lab, Ratlam

• India
• Education Management
• 1 - 100 Employee

• Data Science Intern

  • Sep 2023 - Nov 2023

  Coimbatore, Tamil Nadu, India



INTERNSAVY

• Software Development
• 1 - 100 Employee

• Data Science

  • Jul 2023 - Aug 2023

  Coimbatore, Tamil Nadu, India -> Conducted exploratory data analysis (EDA) on diverse datasets, uncovering hidden insights and facilitating a deeper understanding of the data's characteristics. --> Participated in data cleaning and preprocessing activities, ensuring data quality and reliability for subsequent analysis. --> Developed, implemented, and evaluated a range of machine learning algorithms to address various business challenges. --> Collaborated closely with colleagues to fine-tune model… Show more -> Conducted exploratory data analysis (EDA) on diverse datasets, uncovering hidden insights and facilitating a deeper understanding of the data's characteristics. --> Participated in data cleaning and preprocessing activities, ensuring data quality and reliability for subsequent analysis. --> Developed, implemented, and evaluated a range of machine learning algorithms to address various business challenges. --> Collaborated closely with colleagues to fine-tune model parameters, enhancing model performance and effectiveness. --> Utilized data visualization libraries to create impactful visual representations of data trends and patterns, aiding in the communication of findings to both technical and non-technical stakeholders. --> Played a significant role in the advancement of specific projects, contributing to meaningful outcomes that aligned with organizational objectives. Show less



KPMG Canada

• Canada
• Financial Services
• 700 & Above Employee

• Data Analyst

  • May 2023 - Jun 2023

  --> Data Quality Assessment: Ensured data accuracy and reliability by evaluating incoming data sources. Conducted data validation and resolved inconsistencies to enhance dataset quality. --> Exploratory Data Analysis (EDA): Performed EDA techniques to uncover insights, patterns, and outliers within datasets. Utilized statistical methods and data visualization to communicate key findings effectively. --> Feature Engineering and Preprocessing: Applied feature… Show more --> Data Quality Assessment: Ensured data accuracy and reliability by evaluating incoming data sources. Conducted data validation and resolved inconsistencies to enhance dataset quality. --> Exploratory Data Analysis (EDA): Performed EDA techniques to uncover insights, patterns, and outliers within datasets. Utilized statistical methods and data visualization to communicate key findings effectively. --> Feature Engineering and Preprocessing: Applied feature engineering methods to improve the predictive power of machine learning models. Managed data preprocessing tasks, including handling missing values and normalization. --> Machine Learning Model Development: Contributed to the development and implementation of machine learning models. Assisted in model training, hyperparameter tuning, and performance evaluation. --> Data Visualization and Communication: Created clear and informative visualizations to present data-driven insights. Collaborated with cross-functional teams to effectively communicate findings and recommendations. Show less



DATAFUSION NEXUS

• AI/ML Product-Internship

  • Apr 2023 - Jun 2023

  Coimbatore, Tamil Nadu, India -> Collaborated with the team to create, fine-tune, and deploy machine learning models, enhancing product features and functionality. Conducted in-depth data analysis and preprocessing tasks, ensuring high-quality datasets for model training using Python and relevant libraries. -> Worked closely with cross-functional teams to seamlessly integrate AI/ML components into the product, contributing to improved user experiences. Achieved measurable results through AI/ML implementations… Show more -> Collaborated with the team to create, fine-tune, and deploy machine learning models, enhancing product features and functionality. Conducted in-depth data analysis and preprocessing tasks, ensuring high-quality datasets for model training using Python and relevant libraries. -> Worked closely with cross-functional teams to seamlessly integrate AI/ML components into the product, contributing to improved user experiences. Achieved measurable results through AI/ML implementations, quantifying improvements in product performance and user engagement. Show less



Acube Engineeering Solutions

• AI Automation Intern

  • Jan 2023 - Mar 2023

  Coimbatore, Tamil Nadu, India • Sentiment Analysis: I conducted sentiment analysis on a vast dataset of news articles related to Acube Solution's industry, utilizing advanced NLP techniques and machine learning algorithms. This analysis helped the company gain real-time insights into public opinion, market trends, and brand perception. • Data Collection & Preprocessing: I designed and implemented data scraping pipelines to collect news articles from various sources, ensuring a diverse and comprehensive dataset. I also… Show more • Sentiment Analysis: I conducted sentiment analysis on a vast dataset of news articles related to Acube Solution's industry, utilizing advanced NLP techniques and machine learning algorithms. This analysis helped the company gain real-time insights into public opinion, market trends, and brand perception. • Data Collection & Preprocessing: I designed and implemented data scraping pipelines to collect news articles from various sources, ensuring a diverse and comprehensive dataset. I also performed data preprocessing to clean and prepare the text data for analysis. • NLP and Machine Learning: I applied state-of-the-art NLP models to perform sentiment analysis on the news articles, utilizing tools and libraries such as:  NLTK (Natural Language Toolkit): for text processing and tokenization.  scikit-learn: for feature engineering and machine learning algorithms.  spaCy: for advanced NLP tasks like named entity recognition.  Transformers: for leveraging pre-trained language models like BERT for sentiment analysis. • Bot Development: In addition to sentiment analysis, I developed a chatbot that integrated with the company's website and social media platforms. • Data Visualization: I created interactive dashboards and reports using data visualization tools such as:  Tableau: for creating visually appealing and informative dashboards.  Matplotlib and Seaborn: for customized data visualization within Python.  Plotly: for interactive and web-based data visualizations. • Collaboration: I collaborated closely with cross-functional teams, including data scientists, developers, and marketing professionals, to ensure the successful integration of sentiment analysis findings into the company's strategic decision-making process. • Continuous Improvement: I actively sought opportunities to improve the accuracy and efficiency of the sentiment analysis model and the chatbot's performance, staying up-to-date with the latest developments in NLP and AI. Show less



Park Intelli Solutions

• India
• Financial Services
• 1 - 100 Employee

• Appraisal Analyst

  • Dec 2021 - Dec 2022

  Coimbatore, Tamil Nadu, India Reconciliation of Residential and condominium was the major part of my work. We use Spark, Gandysoft and Total appraisal software to bring out reconciliation value of subject property.I have worked for states like Florida and Texas.