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Data Analyst with less than a year in SQL, Python, & Power BI
Detail-oriented Data Analyst & Data Engineer with a strong foundation in Python, SQL, and database design. Experienced in building data pipelines, performing exploratory data analysis, and developing dashboards for actionable insights. Proficient in transforming raw data into meaningful reports using tools like Power BI, Pandas, and MySQL. Passionate about leveraging data to drive business decisions and seeking a challenging role in data analytics or data engineering.
Ajeenkya D.Y. Patil College of Management
Master of Computer Application
April 1, 2023 – July 1, 2025
COCSIT College
Bachelor of Computer Application
June 1, 2019 – May 1, 2022
Dayanand Science College
Higher Secondary Certificate (HSC) – Class 12
May 1, 2017 – May 1, 2019
Sant Namdev High School
Secondary School Certificate (SSC) - Class 10
May 1, 2016 – May 1, 2017
Sales & Customer Insights – EDA & Visualization Project
June 1, 2026 – June 1, 2026
• Conducted end-to-end EDA on a 50,000-row sales dataset to uncover revenue trends, top-performing products, and customer segments. • Cleaned and preprocessed raw data including handling missing values, outliers, and data type inconsistencies using Pandas. • Built statistical summaries and correlation heatmaps using Seaborn and Matplotlib for presentation to stakeholders. • Wrote complex SQL queries (joins, window functions, CTEs) to extract business-critical KPIs from a relational database.
Data Analytics Dashboard - Warehouse Insights
May 1, 2023 – August 1, 2023
• Designed and built an end-to-end data pipeline ingesting 1000+ product records from MySQL into Pandas for analysis and reporting. • Performed exploratory data analysis (EDA) to identify inventory trends, order patterns, and restocking inefficiencies. • Created interactive Power BI dashboards visualizing KPIs including stock turnover rate, order fulfillment time, and demand forecasting. • Automated data extraction and transformation scripts reducing manual reporting effort by 40%. • Implemented SQL query optimization techniques improving data retrieval speed by 35%.
Foundation Full Stack Developer Program
upGrad
June 1, 2026 – Present
Accenture Developer Virtual Experience Program
Forage
June 1, 2026 – Present
SQL for Data Science
Coursera / relevant platform
June 1, 2026 – Present
Python for Data Analysis
Coursera / relevant platform
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analytics skills, including both a professional and a personal project. The breadth of tools and methodologies listed (Agile, Git, Jupyter Notebook) suggests an adaptability and willingness to engage with standard industry practices. The certifications further indicate a commitment to continuous learning and skill development, which aligns well with a growth-oriented culture. The target role of Data Analyst is well-aligned with the candidate's demonstrated skills and project experience.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, attention to detail, team collaboration, communication, and time management as soft skills. These are highly relevant for a Data Analyst role, indicating a good operational fit for data-driven environments. The project descriptions also implicitly demonstrate problem-solving and attention to detail through data cleaning and optimization efforts.