Data Analyst with 1+ years in Python, SQL, Power BI, and Machine Learning.
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Assessing your cultural and operational fit
Skilled in Python, SQL, Power BI, Tableau, Excel and Machine Learning. Passionate about transforming raw data into actionable insights to optimize business performance. Proven ability to create interactive dashboards, predictive dashboards and data-driven reports to enhance decision- making. Seeking opportunities to apply my data visualization and analytics expertise to solve real-world business problems.
TERNA ENGINEERING COLLEGE NERUL, NAVI MUMBAI
B.E. · Electronics & Telecommunication
N/A – June 30, 2025
Bright Future
Data Analyst
September 1, 2025 – Present
India
Cognifyz Technologies
Power BI, Intern
March 1, 2025 – April 1, 2025
India
GrowthLink
Data Science, Intern
February 1, 2025 – March 1, 2025
India
Sales Performance Dashboard
June 19, 2026 – Present
Designed an interactive dashboard to analyze sales trends, improving data-driven decision-making by 50%. Automated data extraction and transformation, reducing manual effort by 40%. Integrated multiple data sources, reducing duplicate records by 35%. Implemented DAX and data modeling techniques, cutting report loading time by 30%. Enabled real-time KPI tracking, enhancing business performance visibility by 45%. Technologies used: Power BI, Data Cleaning, Data Modeling.
View ProjectEmployee Performance and Bonus Allocation
June 19, 2026 – Present
Developed a Python-based system to evaluate employee performance and determine bonus allocation, analyzing data from 500+ employees across multiple datasets. Implemented statistical analysis techniques to identify high performers, leading to a 20% improvement in bonus allocation fairness and a 15% reduction in underperformance cases. Designed an automated reporting system to generate year-end summaries for 100% of employees and error logs, improving data accuracy and decision-making efficiency. Technologies used: Python, NumPy, Data Processing.
View ProjectCar Price Prediction
June 19, 2026 – Present
Developed a machine learning model to predict house prices based on various features such as location, size, and amenities, using regression techniques for accurate price estimation. Applied feature engineering, data preprocessing, and exploratory data analysis to optimize model performance and improve predictive accuracy. Integrated multiple algorithms like Linear Regression, Decision Trees, and Random Forests, comparing their results to identify the best-performing model. Technologies used: Python, Pandas, NumPy, Scikit-learn.
View ProjectHackerRank SQL Advanced Certificate
HackerRank
April 1, 2025 – Present
Deloitte Australia Data Analytics Simulation
Forage
March 1, 2025 – Present
Accenture North America Data Analytics Simulation
Forage
December 1, 2024 – Present
Career Essentials in Data Analysis
Microsoft and LinkedIn
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from sales performance dashboards to employee performance systems and car price prediction, indicates a broad interest in applying data analysis across different domains. The internships and certifications show initiative and a willingness to learn, aligning with a growth-oriented culture. The current full-time role as a Data Analyst further strengthens the alignment with the target role.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, strong communication, time management, collaboration, and teamwork through project descriptions and professional experience. The focus on improving decision-making, automating tasks, and collaborating with cross-functional teams suggests a good operational fit for a data analyst role.