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Data Science with less than a year in Product Analytics & ML, skilled in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As an aspiring Data Science professional, I possess a strong foundation in Python, SQL, and Power BI. My experience includes developing REST API-based products, building ETL data pipelines, and implementing machine learning models for real-world applications. I've actively contributed to projects like automated insect detection, real estate analytics, and financial transaction analysis, demonstrating my ability to drive impactful data-driven solutions.
Indian Institute of Technology, Madras
B.S. · Data Science and Applications
August 1, 2023 – June 30, 2027
G. B. Pant University Of Agriculture & Technology, Pantnagar
B.Tech · Electrical Engineering
August 1, 2022 – June 30, 2026
Nirmal Ashram Deepmala Public School, Rishikesh
Grade XII · CBSE
N/A – May 31, 2021
Interviewkit.ai
Product Analyst Intern
April 1, 2026 – Present
India
Sapienplus AI Research and Analytics LLP
ML Analytics Intern
June 1, 2024 – August 1, 2024
India
Automated Insect Detection & Counting System
March 1, 2026 – April 1, 2026
• Developed an end-to-end computer vision pipeline using YOLOv8 trained on 520 annotated images, achieving 93% mAP@50 for real-time fruit fly detection with automated CSV logging and timestamp tracking. • Deployed optimized model on Raspberry Pi 4 with HQ Camera, implementing live detection at 5-10 FPS using PyTorch CPU inference, Picamera2 integration, and custom data augmentation techniques. • Designed and ideated complete 3D-printed enclosure system for mounting camera, electronics, and pheromone trap, integrating automated counting logic for agricultural monitoring applications.
Financial Transaction Analytics
January 1, 2026 – February 1, 2026
• Architected a Star Schema data model consisting of a central Transaction fact table and 7 dimension tables (Customers, Banks, Locations) to streamline financial reporting. • Developed an end-to-end analytics workflow using SQL/Snowflake for data warehousing and Power BI for visualizing KΡΙ trends, profit/loss analysis, and regional activity. • Implemented interactive dashboards featuring dynamic parameters and slicers, enabling stakeholders to perform granular cross-filtering by investment type and customer demographics.
Real Estate Analytics
December 1, 2025 – January 1, 2026
• Developed an end-to-end ML pipeline, benchmarking 10+ algorithms to select a Random Forest model achieving a 0.91 R2 score via K-Fold Cross-Validation. • Built a multi-page Streamlit dashboard featuring dedicated for Price Prediction, Analytics Module, Insights Module, and also added Recommender System for similar apartment discovery. • Deployed the scalable application using AWS EC2 and S3, implementing advanced data cleaning and outlier treatment for high-dimensional real estate datasets.
Cultural Fit Analysis
The candidate's academic background in both Data Science and Electrical Engineering, coupled with diverse projects ranging from real estate analytics to computer vision and financial data, indicates a broad interest and adaptability. Their involvement in robotics clubs and competitions suggests a proactive and collaborative mindset. The internship experiences align well with a data-driven culture, showing a willingness to learn and contribute to product development and analytics.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through their roles in The Robotics Club and their internship at Interviewkit.ai, where they took ownership of key product features. Their experience in technical mentorship and strategic coordination suggests good communication and teamwork skills. The project descriptions indicate an ability to translate technical concepts into practical solutions, which is crucial for operational fit.