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Data with less than a year in Python & Power BI
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Assessing your cultural and operational fit
Results-driven Data Analytics fresher with hands-on experience in Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, and Tableau. Proven ability to design end-to-end data pipelines, build interactive dashboards, and generate actionable business insights. Delivered measurable outcomes including 45% reduction in stock discrepancies and 98%+ model accuracy in academic projects. Seeking an entry-level Data Analyst role to leverage analytical skills in a data-driven organization.
Cambridge Institute of Technology, Bangalore
Bachelor of Engineering · Computer Science
June 1, 2022 – May 1, 2026
Sri Chaitanya Junior Kalasala, Hyderabad
Pre-University Course · Science (PCM)
June 1, 2020 – May 1, 2022
Take it smart (OPC) LTD
DATA SCIENCE INTERN
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Blue Stock Fintech
Software Intern - Data & Fintech Analytics
August 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India
Inventory Management System
September 1, 2025 – December 1, 2025
Designed and implemented an end-to-end inventory tracking system by integrating MySQL with a Django REST API backend, enabling real-time stock data ingestion across 500+ SKUs. Built interactive Power BI dashboards using DAX measures and Power Query to visualize stock levels, supplier lead times, and reorder triggers - reducing manual reporting effort by 60%. Applied SQL-based data analysis and Python (Pandas) for anomaly detection in stock movements, achieving a 45% reduction in stock discrepancies and 20% improvement in inventory efficiency.
AI-Powered Public Grievance Analyzer
August 1, 2025 – November 1, 2025
Developed an AI-powered system to analyze and categorize public grievance data. Cleaned and processed complaint data using Python (Pandas). Applied NLP techniques to classify grievances into categories (e.g., water, electricity, roads). Built interactive dashboards using Power BI/Excel to visualize complaint trends and patterns.
Pharmacy Management System
April 1, 2025 – July 1, 2025
Designed a relational MySQL database schema with 8+ normalized tables to manage sales records, prescription history, and inventory - replacing manual Excel-based tracking. Wrote complex SQL queries (JOINS, GROUP BY, subqueries) to generate weekly sales trend reports and stock expiry alerts, reducing data retrieval time by 40%. Analyzed 6 months of pharmacy sales data using Python (Pandas) to identify top-selling drugs and seasonal demand patterns, enabling data-driven restocking decisions.
Crop Disease Detection Using Deep Learning
June 1, 2024 – September 1, 2024
Collected and preprocessed a 10,000+ image agricultural dataset using Python (Pandas, NumPy), applying data augmentation techniques (rotation, flipping, normalization) to handle class imbalance. Engineered and trained three CNN architectures (custom CNN, VGG16, ResNet-50) using transfer learning, tuning hyperparameters to achieve 98%+ classification accuracy on the test set. Evaluated model performance using confusion matrices, precision-recall curves, and F1 scores in Matplotlib/Seaborn; ResNet-50 outperformed baselines by 12% accuracy.
Data analytics by infyntrek systems
infyntrek systems
June 1, 2026 – Present
Data Analytics with Python & SQL
Udemy
June 1, 2026 – Present
Digital 101 Journey - Digital Literacy & Data Fundamentals
Unknown
June 1, 2026 – Present
Power BI Workshop - Interactive Dashboard Development, DAX Functions, Power Query
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like inventory management, crop disease detection, public grievance analysis, and pharmacy management, indicating a broad interest in applying data skills to various real-world problems. The internships in 'Data & Fintech Analytics' and 'Data Science' show a clear alignment with data-centric roles. The breadth of tools and techniques used (SQL, Python, Power BI, ML, NLP) suggests adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic data team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to translate data into actionable insights. The academic projects and internships suggest a proactive learning attitude and a capacity for problem-solving. The focus on measurable outcomes (e.g., reducing manual effort, improving efficiency) points to a business-oriented mindset. However, as an entry-level candidate, direct experience in complex operational environments or large-scale team collaboration is limited.