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Data Analyst with less than a year in Python, SQL & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in Python, SQL, and machine learning. Proven ability to extract insights from complex datasets, build interactive dashboards. Expertise in data wrangling, predictive analytics, and computer vision. Adept at communicating data insights to stakeholders and supporting data-driven decision-making. M. Tech in Data Science (PICT, Pune) with GATE CSE qualification.
Pune Institute of Computer Technology (PICT)
MTech · Data Science
August 1, 2024 – June 30, 2026
SKN College of Engineering, Pune
B.E. · Information Technology
August 1, 2020 – June 30, 2024
Labmentix Pvt. Ltd.
Data Analyst Intern
April 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India
Automated Road Accident Identification System
January 1, 2025 – January 1, 2025
• Built a multimodal AI system combining computer vision and NLP to identify road accidents from visual and textual data with 97.8% accuracy. • Integrated image classification pipeline (CNN) with NLP-based text analysis for enhanced detection accuracy over individual models. • Applied feature engineering and ensemble approach, resulting in significant accuracy improvement over baseline.
Stock Price Forecasting Web Application
January 1, 2024 – January 1, 2024
• Developed an end-to-end stock price prediction web app using LSTM (Long Short-Term Memory) neural networks for time-series forecasting. • Integrated technical indicators (Moving Averages, RSI, Bollinger Bands) and visualized market trends using Streamlit and Matplotlib. • Trained and evaluated LSTM model on historical stock data, achieving competitive forecasting performance with real-time predictions.
Smart Road Assistance System (SDAS)
January 1, 2024 – June 1, 2026
• Developing a real-time AI-powered system for vehicle, pedestrian, and traffic sign detection using computer vision techniques. • Implemented YOLOv8 and CNN models for multi-class object detection and traffic signal recognition with high precision. • Optimized model inference speed for real-time video stream processing, improving detection accuracy through iterative hyperparameter tuning. • Applied data augmentation and transfer learning techniques to improve model robustness across diverse road conditions.
Python Certification
Proficiency in Python programming for data science and automation
June 1, 2026 – Present
Power BI Certification
Data visualization and business intelligence reporting
June 1, 2026 – Present
Cricket Analytics Certification
Applied sports analytics using statistical and data analysis methods
June 1, 2026 – Present
GATE CSE Qualified
National-level competitive exam in Computer Science & Engineering
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying data science to real-world problems (e.g., road assistance, accident identification, stock forecasting). The internship experience in a business setting indicates an ability to work with stakeholders and deliver actionable insights. The breadth of skills across traditional data analysis, machine learning, and deep learning, along with certifications, suggests a proactive and continuous learning mindset, which is a positive cultural fit for dynamic technical environments. The GATE CSE qualification further highlights a strong academic and competitive drive.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and cross-functional collaboration skills through project descriptions and internship responsibilities. The ability to automate workflows and identify data quality issues indicates attention to detail and operational efficiency. The academic background in Data Science and Information Technology, coupled with practical project experience, suggests a strong fit for data-driven roles.