Sagar Patel

Data Analyst

Mumbai, India 0+ yrs exp 81 · Excellent

About

Data Analyst with a B.Tech in Artificial Intelligence and Data Science and hands-on experience in developing impactful data solutions. Proficient in Power BI, Excel, and SQL, with a proven track record of creating interactive dashboards that enhance campaign performance analysis. Developed a Power BI dashboard that facilitated the identification of transaction patterns and growth opportunities, optimizing reporting processes for better decision-making.

Skills & Expertise (40)

Python Intermediate

6.8/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

Machine Learning Intermediate

6.3/10

Years Exp

Pandas Intermediate

6.0/10

Years Exp

Data Analysis Intermediate

6.0/10

Years Exp

NumPy Intermediate

5.8/10

Years Exp

Deep Learning Beginner

5.5/10

Years Exp

Statistics Beginner

5.5/10

Years Exp

TensorFlow Beginner

5.0/10

Years Exp

scikit-learn Beginner

5.0/10

Years Exp

NLTK FFmpeg FastAPI Data visualisation Flask Matplotlib Excel Power Query DAX Power BI Docker Git ETL LangChain C++ Generative AI Computer Vision Natural Language Processing Recommendation Systems OCR Feature Engineering Feature Selection Data Engineering LangGraph Autogen RAG Prompt Engineering MySql ChromaDB FAISS

Work Experience

Machine Learning Intern

CODTECH IT SOLUTIONS PRIVATE LIMITED

Dec 2024 - Jan 2025

Developed a Sentiment Analysis model to classify over 50,000 movie reviews as positive or negative using Machine Learning and NLP techniques. Executed text preprocessing, TF-IDF feature extraction, and exploratory data analysis on a dataset of 50,000+ reviews to enhance data quality and model readiness. Trained and evaluated Logistic Regression and Naive Bayes models, achieving over 85% classification accuracy on the test dataset. Utilized Python, SQL, Scikit-learn, Pandas, and NLTK to automate text classification, reducing manual review time and enabling faster sentiment analysis.

Python Developer Intern

Advanced Electronics

Jun 2024 - Dec 2024

Developed a real-time voltage and current monitoring system using Python and PySerial, processing 1,000+ sensor readings per minute from embedded hardware devices. Implemented multi-threaded data processing and live Matplotlib visualization, reducing data refresh latency by 50% while eliminating UI blocking. Processed and converted 10,000+ hexadecimal data points into calibrated electrical measurements using mathematical and statistical techniques, enabling accurate real-time monitoring and analysis. Automated data logging and reporting using Pandas and Excel integration, reducing manual effort by 80%, and leveraged SQL for efficient data manipulation and performance optimization.