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Data Analyst with 1+ years in Data Analytics & Machine Learning
Results-driven Data Analyst with hands-on experience in Python, SQL, Excel, Power BI, PostgreSQL, and Machine Learning. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, statistical analysis, predictive modeling, and business reporting. Experienced in transforming raw data into actionable insights using Python, Pandas, NumPy, and Power BI. Strong analytical, problem-solving, and stakeholder communication skills with internship experience in Data Analytics and Data Science. Passionate about leveraging data to support business decisions and improve organizational performance.
Dr. D. Y. Patil Pratishthan's Engineering College, Salokhenagar
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Maharashtra State Board
HSC (Science)
June 1, 2020 – May 31, 2020
Maharashtra State Board
SSC
June 1, 2018 – May 31, 2018
STEMLearn.AI
Robotics & AI Trainer
March 1, 2026 – Present
India
Adarsh Institute of Technology and Research Centre
Teaching Faculty & Training & Placement Coordinator
August 1, 2025 – March 1, 2026
India
The Kiran Academy
Python Full Stack Intern
February 1, 2025 – July 1, 2025
India
NexGen Analytix
Data Analytics Intern
February 1, 2025 – June 1, 2025
India
YBI Foundation
Data Science Intern
June 1, 2024 – August 1, 2024
India
AI Interview Copilot
June 1, 2026 – Present
Developed an AI-powered interview assistant capable of generating role-specific responses in real time. Integrated resume-based context understanding for personalized answer generation. Built scalable frontend and backend architecture using React.js and FastAPI. Implemented API-driven workflows using Generative AI and prompt engineering techniques. Enhanced interview preparation through intelligent and contextual AI responses.
Financial Market Sentiment Analysis
June 1, 2026 – Present
Built a sentiment analysis system for financial news and market data. Applied Natural Language Processing (NLP) techniques to extract sentiment trends. Analyzed financial market sentiment to support investment decision-making. Generated predictive insights and visual reports using Python libraries.
Customer Purchase Behavior & Sales Performance Analysis
June 1, 2026 – Present
Performed data cleaning, transformation, and exploratory data analysis. Built predictive models to identify customer purchasing patterns and trends. Developed interactive dashboards and reports for business stakeholders. Generated actionable recommendations to improve sales performance.
Sales Performance Analysis & Forecasting
June 1, 2026 – Present
Analyzed historical sales data and business KPIs. Developed forecasting models to predict future sales trends. Created visual dashboards to monitor business performance. Provided strategic recommendations for revenue growth and operational improvement.
Shaurya Laboratory Website
June 1, 2026 – Present
Gathered client requirements and designed a professional pathology laboratory website. Developed responsive user interfaces and optimized user experience. Implemented service pages, inquiry forms, and contact functionalities. Successfully delivered the project within client timelines and requirements.
ARVIS AI Virtual Assistant
June 1, 2026 – Present
Developed an AI-powered virtual assistant inspired by JARVIS for voice-based interaction and task automation. Integrated AI models to understand user queries and generate intelligent responses. Implemented speech-to-text and text-to-speech functionalities for natural communication. Designed a scalable architecture for future automation and smart assistant features.
Python for Data Science
IBM Cognitive Class
June 1, 2026 – Present
Data Science & Machine Learning
YBI Foundation
June 1, 2026 – Present
Excel for Data Analytics
Alison
June 1, 2026 – Present
Web Development Bootcamp
Self Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, ranging from data analysis and machine learning to full-stack development and AI assistants. This breadth of interest and skill development suggests adaptability and a willingness to explore different technical domains. Their roles as a trainer and faculty member indicate a collaborative and knowledge-sharing attitude. The personal projects demonstrate initiative and a passion for technology beyond formal employment, which aligns well with a culture of continuous learning and innovation. However, the current experience level (still pursuing a Bachelor's degree) might require a team that can provide mentorship and structured growth opportunities.
Soft Skills & Operational Fit
The candidate's experience as a trainer and faculty member suggests strong communication and mentoring skills, which are valuable for explaining complex data insights to non-technical stakeholders. Their project work indicates a problem-solving mindset and an ability to work on diverse technical challenges. The freelance project demonstrates client interaction and project delivery capabilities.