Work Experience

Data Science and ML Internship
- Feeding Trends
Feb 2024 - July 2024
Data Science Intern
- Prodigy Infotech
Nov 2023 - Dec 2023
Customer Support Executive
- Flipkart, Managed by Teleperformance Pvt Ltd
Aug 2022 - Mar 2023

Education

Master of Computer Application
Nov 2022 - June 2024
Maharishi University of Information Technology, Lucknow, India
Bachelor of Science (Computer Science, Statistics)
Aug 2018 - July 2021
Shia P.G. College, Lucknow, India

Projects

Stock-Market-Prediction-Using-Numerical-And-Textual-Analysis
  • Developed a stock price prediction model using LSTM neural networks, integrating sentiment analysis of news headlines with historical market data to enhance forecasting accuracy.
  • Implemented data preprocessing, feature engineering, and model evaluation techniques, resulting in a robust prediction system that captures market trends and sentiment-driven price movements.
  • Used libraries such as NumPy, Pandas, yfinance, Scikit-Learn, NLTK, Keras.
Data Extraction and NLP
  • Developed a comprehensive text analysis tool using Python, integrating web scraping, natural language processing, and sentiment analysis to extract and analyze content from multiple web sources.
  • Created a pipeline for data processing and analysis, handling large volumes of text data and outputting results in a structured format for easy interpretation and further study.
Music Recommendation System
  • Used the Spotify API to fetch track data from a specified playlist, including audio features, popularity, and release dates.
  • Implemented a content-based recommendation function that uses cosine similarity on scaled audio features to find songs similar to a given input track.
  • Combined content-based recommendations with popularity-based filtering to create a hybrid recommendation system using both audio feature similarity and weighted popularity scores.
Customer Churn Analysis
  • Conducted churn analysis to evaluate and strategize on reducing a company's customer loss rate. The objective was to analyze churning customers and plan a strategy to retain them.
  • Visualized data clearly so that it was self-explanatory for management, utilizing various DAX functions and calculated columns to categorize customer tenure, including actionable insights and visuals.

Certifications

Data Science Masters
  • Certified in Data Science Masters by PW.
Power BI Virtual Case Experience
  • Achieved the PWC - Power BI Virtual Case Experience Certificate through Forage.
Visualise Data with PowerBI B8
  • Certified in Visualise Data with PowerBI B8 by GrowthSchool.
Foundations: Data, Data, Everywhere
  • Certified in Foundations: Data, Data, Everywhere, an online course authorized by Google and offered through Coursera.