Experienced Data Analyst with 6+ years of expertise in the IT industry, specializing in Banking, Insurance, and Automotive domains. Skilled in processing and organizing data, with a strong ability to maintain and manage large databases. Proficient in utilizing data mining tools and adept at handling complex algorithms for big data analysis.
Aviva Life Insurance.
Royal Automobile Club:
Data Visualization tools
Cars sales prediction: Tableau, Python, Excel, Data mining algorithm for analysing top selling Model for most popular car Manufacturer and also predicted their next year best sell model and its specifications requirement. I have used Linear regression algorithm and obtained R square value of 85% with 91% accuracy rate for predicted result.
Database Design Project: SQL Developer, Oracle, Power BI, Database design project developed management system for E commerce database schema with analyzing and importing sales data, implementing entity relations (ER Model) and DML/DDL query execution for customer invoice and reporting.
Cardiac Health prediction using GCP Vertex AI, GCP Vertex AI, Google storage, bigquery, Looker studio, On the basis of basics health parameter as BMI index, height, weight, cholesterol and Blood pressure level, I have predicted cardiac health condition using Vertex Ai GCP services. Also I have used Google storage to store data, bigquery and Looker studio for report visualization.
Real time face detection using Python: Python, face recognition, NumPy, open cv, Using face recognition, NumPy and open cv libraries of Python, I have created a model which capture real time facial recognition and provide its identity linked to the backed database. This project can be applicable in real time scenario as a Smart Attendance in classroom or Identity recognition by web camera setup at home door.
Dance and music is my relaxing therapy. After work I love to engage my self in dance world and if not that just cycling around and exploring new trails. It clear my mind and make me ready to solve new data puzzle at work.