About
Highly analytical and results-driven Computer Science and Engineering student with a robust foundation in data science, machine learning, and natural language processing. Proven ability to develop impactful analytics platforms, predictive models, and strategic dashboards, leveraging Python, SQL, and advanced ML frameworks to drive data-informed decisions and solve complex problems in mental health, customer retention, and financial strategy.
Work
Bhopal, Madhya Pradesh, India
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Summary
Constructed an interactive Market Entry Strategy Dashboard using Python and Streamlit, providing comprehensive insights into market attractiveness, competition intensity, and financial viability.
Highlights
Built an interactive Market Entry Strategy Dashboard leveraging Python, Pandas, NumPy, Scikit-learn, and Streamlit to assess market attractiveness and competition intensity.
Implemented comprehensive TAM/SAM/SOM analysis, risk assessment, and sensitivity modeling to simulate diverse market scenarios and inform strategic planning.
Developed sophisticated financial models, including NPV, IRR, and payback period analysis, to support robust investment decisions and evaluate project feasibility.
Bhopal, Madhya Pradesh, India
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Summary
Designed and developed an interactive churn prediction application, empowering businesses to proactively identify and retain high-risk customers through data-driven strategies.
Highlights
Developed an interactive Streamlit application to identify customers at high risk of churn, enabling businesses to implement targeted retention strategies.
Executed extensive data preprocessing, feature engineering, and exploratory data analysis (EDA) to uncover key churn-driving factors and optimize model input quality.
Trained and rigorously evaluated multiple machine learning models (Logistic Regression, Random Forest, XGBoost) to maximize prediction accuracy and support proactive business interventions.
Bhopal, Madhya Pradesh, India
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Summary
Developed an advanced analytics platform to study the impact of social media usage patterns on mental health, leveraging Python and NLP techniques to extract critical insights from user-generated content.
Highlights
Engineered and deployed an interactive analytics platform utilizing Python, Pandas, NumPy, NLP, and Streamlit to analyze social media data and identify critical patterns related to mental health.
Performed comprehensive text mining, sentiment analysis, and topic modeling on user-generated content, successfully detecting stress, anxiety, and depression signals.
Applied and evaluated diverse machine learning models for classification and correlation analysis, demonstrating significant relationships between digital behavior and mental health indicators.
Education
Awards
National Level Badminton Player
Awarded By
NVS Samiti
Represented Jawahar Navodaya Vidyalaya (JNVs) at the national level in badminton competitions, demonstrating exceptional discipline, teamwork, and resilience. Took on leadership responsibilities, including mentoring junior players, coordinating practice sessions, and fostering a spirit of sportsmanship within the team.
Languages
English
Skills
Programming Languages
Python (Pandas, NumPy, Scikit-learn), SQL, Java.
Data Analysis & Visualization
Excel, Google Sheets, Power BI, Matplotlib, Seaborn.
Databases
MySQL, Oracle Database.
Developer Tools
Jupyter Notebook, VS Code, Git, GitHub.
Technologies/Frameworks
Streamlit, Flask, Machine Learning, Statistical Analysis, Natural Language Processing (NLP).