Data Analyst Power Bi

Abhijit Kisan Thorat

Pune, India **************@*****.*** +91-703*******

Professional Summary

Analytical and detail-driven Data Analyst with 1.5 years of professional experience at Capgemini, specializing in data transformation, predictive modeling, and dashboard creation. Proficient in SQL, Python, Excel, and Power BI. Strong background in machine learning, API integration, and real-time data processing. Passionate about uncovering insights from data and delivering impactful business solutions.

Core Competencies

Data Cleaning & Preprocessing

SQL & Advanced Excel

Exploratory Data Analysis (EDA)

Data Visualization (Power BI, Matplotlib)

Machine Learning (scikit-learn, TensorFlow)

Business Intelligence Reporting

API Integration & Automation

Real-time Data Processing

Technical Skills

Languages: Python, Java, C++, SQL

Libraries & Tools: Pandas, NumPy, TensorFlow, Matplotlib, OpenAI API, Jupyter Notebook

Databases: PostgreSQL, MySQL

BI Tools: Excel, Power BI

Version Control: Git

Backend: Spring Boot, Firebase, REST APIs

Operating Systems: Linux, Windows

Professional Experience

Data Analyst

Capgemini.

January 2024 – Present

Collaborated with cross-functional teams to analyze large volumes of financial and operational data.

Performed data cleaning, transformation, and validation using SQL and Python.

Created interactive dashboards in Power BI to monitor key performance indicators.

Provided regular data-driven insights to business stakeholders, enabling strategic decisions.

Supported backend integration and automation tasks using REST APIs and real-time data handling tools.

Project Allocation

Project Title: Financial Anomaly Detection and Insights Platform

Client Company: Sierra Analytics Inc. (Mid-level U.S.-based Financial Analytics Firm)

Duration: Mar 2024 – Present

Role: Data Analyst

Project Summary:

Designed and implemented an automated data analysis pipeline to detect anomalies in financial transactions for a U.S.-based mid-size fintech client. Built predictive models to flag suspicious activity and integrated Power BI dashboards to visualize insights in real time.

Key Contributions:

Built ML models to identify fraud patterns, increasing anomaly detection by 25%.

Automated ETL workflows using Python and SQL.

Developed Power BI dashboards for senior leadership to monitor risks and KPIs.

Integrated REST APIs to sync insights with internal financial tools.

Education

Bachelor of Engineering – Computer Science (AI & ML Honors)

Sinhgad Institute of Technology and Science, Pune

2020 – 2024

Preferred Location

Pune (Open to relocation)

Contact this candidate