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Data Analyst with less than a year in ML Pipeline Development & Statistical Analysis
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Data Science postgraduate with hands-on experience in Python, machine learning, and statistical analysis. Skilled in data analysis, ML pipeline development, exploratory data analysis (EDA), and data visualization using tools like Pandas, Scikit-learn, SQL, and Power BI. Experienced through internships and projects in applying data-driven techniques to solve real-world business problems.
ST. Aloysius (Deemed to be University)
Master of Science · Data Science
August 1, 2024 – June 30, 2026
Lala Lajpat Rai College, University of Mumbai
Bachelor of Science · Information Technology
August 1, 2021 – June 30, 2024
Alar Innovations
Data Analytics & Machine Learning Intern
January 1, 2026 – Present
India
Elevate Labs
Data Analyst Intern
April 1, 2025 – May 1, 2025
India
Skillarena Educational Technologies
Business Development Intern
January 1, 2023 – February 1, 2023
India
InsuranceAI_Assistant (RAG Chatbot)
December 1, 2025 – January 1, 2026
Developed a Retrieval-Augmented Generation chatbot to answer insurance policy queries using semantic search and embeddings. Implemented document ingestion, FAISS vector database, and LLM response generation using LangChain pipelines. Built an interactive Streamlit interface allowing users to query policy documents and receive context-aware responses.
Carbon Footprint Estimator from Purchase History (CarbonSense)
August 1, 2025 – October 1, 2025
Built machine learning models including Linear Regression, Random Forest, XGBoost, CatBoost and LightGBM for carbon emission prediction. Engineered features from heterogeneous product datasets achieving R2 = 0.92 using LightGBM. Deployed a Flask-based prediction service demonstrating end-to-end ML pipeline development.
Used Car Price Prediction
July 1, 2025 – August 1, 2025
Designed regression pipeline including preprocessing, feature engineering, evaluation, and error analysis. Improved prediction performance by reducing MAE by 12% through systematic experimentation. Deployed an interactive Streamlit application for real-time car price prediction.
Financial Startup KPI Analysis
April 1, 2025 – May 1, 2025
Analyzed financial transaction data (1800+ entries) to compute KPIs including Burn Rate, Runway, and LTV:CAC. Conducted cohort analysis to identify retention trends and visualized insights through analytical dashboards.
Student Stress Management using Data Analysis
December 1, 2024 – February 1, 2025
Performed exploratory data analysis on student survey datasets to study academic and lifestyle stress factors. Visualized correlations and patterns using heatmaps and distribution plots.
View ProjectExploratory Data Analysis
Scaler
June 1, 2026 – Present
Statistics 101
IBM
June 1, 2026 – Present
Intro to Data Science
Cisco
June 1, 2026 – Present
Machine Learning Beginner
Infosys Springboard
June 1, 2026 – Present
Data Science Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a broad range of data science applications, from financial KPI analysis to stress management and carbon footprint estimation, indicating diverse interests and adaptability. The internships, particularly at Alar Innovations and Elevate Labs, align well with a data-driven culture. The pursuit of a Master's degree in Data Science further reinforces a commitment to the field. The candidate appears to be a continuous learner, which is a positive cultural fit for dynamic tech environments. However, all experience is at an intern level, and all projects are academic, which might limit exposure to real-world corporate cultural nuances.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application, as seen in their diverse academic projects and internships. Their experience in collaborating with teams and receiving 'Best Performer' recognition at Elevate Labs suggests good teamwork and operational fit. The NCC Cadet achievements also indicate discipline and leadership potential. However, the resume lacks explicit details on problem-solving methodologies, conflict resolution, or independent decision-making in complex scenarios, which are crucial for a senior role.