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Junior Data Analyst with less than a year in Data Science & Visualization
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Assessing your cultural and operational fit
Detail-oriented and analytical MSc Computer Science graduate with hands-on training in Data Science and strong skills in Python, SQL, Statistics, Data Visualization, and Machine Learning fundamentals. Experienced in cleaning, analyzing, and interpreting data to generate meaningful insights through practical projects. Proficient in tools such as Excel, Power BI/Tableau, NumPy, Pandas, and Matplotlib. Adept at problem-solving, presenting findings clearly, and applying data-driven approaches to support decision-making. Eager to contribute to a dynamic team as a Data Analyst and grow through real-world analytics projects
Aurora Degree and PG College
Msc in ComputerScience · Computer Science
August 1, 2022 – June 30, 2025
Vivekananda Degree and PG College
Bsc in Statistics · Statistics
August 1, 2019 – June 30, 2022
64 Network security private limited
Junior Data Analyst
February 1, 2025 – August 1, 2025
Hyderābād, Telangana, India
Amazon Product Web Scrapping Application
June 23, 2026 – Present
Developed a full-stack web scraping application using Python, FastAPI, BeautifulSoups and Streamlit to extract real-time Amazon product data including title, price, rating, reviews, availability, and images. Implemented REST APIs for backend scraping logic, added browser-like headers to handle bot restrictions, and designed an interactive frontend for data visualization. Followed a modular project structure with proper error handling and debugging to manage dynamic and inconsistent HTML content.
ERPNext Custom Module Development
June 23, 2026 – Present
Developed and customized ERPNext modules including Sales, Purchase, Inventory, and HRM to streamline business processes and enhance operational efficiency. Built a custom Notes/Comment section in the Issue module, enabling seamless collaboration between clients and technical teams through structured note sharing with user roles, timestamps, and profile details. Designed and implemented a Target Allocation page for assigning and managing sales and activity targets, integrating backend logic to synchronize and manage client-specific data.
BlinkIT Sales Dashboard using PowerBI
June 23, 2026 – Present
Built an interactive sales performance dashboard using Power BI and Excel data. Analyzed key metrics including Total Sales, Avg Sales, No. of Items, Avg Rating, and item visibility. Designed visuals such as bar charts, donut charts, line charts, KPI cards, and filters for dynamic insights. Implemented slicers for Outlet Type, Outlet Size, Item Type, and Location, enabling deep-dive analysis. Identified sales trends, top-performing product categories, outlet performance, and customer behavior patterns. Enhanced decision-making by presenting year-wise sales, outlet establishment trends, and category-wise breakdowns in a clean, user-friendly dashboard.
Data Visualisation: Empowering Business with Effective Insights
Tata (Forage)
October 1, 2025 – Present
Data Analytics Job Simulation
Deloitte (Forage)
September 1, 2025 – Present
Javascript Certification
Scaler Academy
January 1, 2025 – Present
National cadet corps, B & C Certificate Holder
Unknown
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including web scraping, ERPNext customization, and sales dashboard creation, indicates a broad interest in applying data skills across different domains. Their academic background in both Computer Science and Statistics, coupled with certifications, shows a commitment to continuous learning and skill development. The internship as a Junior Data Analyst directly aligns with the target role, suggesting a clear career path and a good cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills and an eagerness to contribute to a dynamic team, as stated in the summary. Their project descriptions suggest an ability to collaborate (e.g., 'seamless collaboration between clients and technical teams') and present findings clearly. The internship experience highlights working closely with business and technical teams to understand operational requirements, which is crucial for operational fit in a data analyst role.