MANIKANTA PUDI
SUMMARY
+919959540601 pudimanikanta3@gmail.com linkedin.com/in/manikanta3/ github.com/mani9kanta3
Motivated and detail-oriented Data Analyst with a foundation in business analysis and Agile practices. Skilled in SQL, Python, Excel, and Tableau, with hands-on experience in data interpretation, dashboard creation, and campaign analysis. Proven ability to collaborate with cross-functional teams and translate complex data into clear business insights. Eager to contribute to high-impact business solutions in dynamic project environments.
TECHNICAL SKILLS
Languages and Databases: Python, Pandas, NumPy, Seaborn, Matplotlib, SQL, MySQL
Visualization Tools: Tableau, Power BI, Excel
Business Tools & Methods: Agile (Scrum), User Story Creation, Data-Driven Decision Making
Other Skills: Data Cleaning & Preprocessing, Business Analysis, EDA, Report Writing, Stakeholder Communication
EXPERIENCE
TechMatrices Solutions
Jan 2025 – Jun 2025
Data Analyst Intern Hyderabad, India
• Conducted comprehensive exploratory data analysis (EDA) on real-time sales and customer data using Python and SQL, identifying trends that supported business decisions in product planning and performance tracking.
• Automated weekly reports and built interactive dashboards in Excel and Tableau, reducing reporting time by 40% and improving stakeholder visibility
• Cleaned and merged raw data from multiple sources, enhancing data quality and enabling accurate analysis for cross-functional teams.
• Presented key findings on customer trends and sales performance to senior analysts, supporting data-driven decisions across product and marketing teams.
Excelerate (Virtual Internship)
Apr 2025 – May 2025
Data Visualization Trainee Remote
• Analyzed marketing campaign data from over 10 Facebook ad campaigns using CPR, CTR, and CPC metrics, recommending discontinuation of 2 underperforming campaigns, saving an estimated 25% of ad spend
• Designed and delivered performance evaluation reports with actionable insights, leading to optimized campaign strategies and measurable engagement improvements.
• Collaborated in a cross-functional team of 5 interns to develop stakeholder-focused visual presentations, resulting in the team being awarded “Star Performer” of the internship batch
• Received 360-degree feedback score of 94%, rated excellent across categories like ownership, time management, quality of work, and innovation.
PERSONAL PROJECTS
FreshMart Revenue Optimization | Python, Tableau, Data Analysis
• Conducted exploratory data analysis (EDA) and hypothesis testing on retail sales data to optimize pricing and discount strategies.
Used Python to clean and merge 7+ datasets and built an interactive Tableau dashboard visualizing KPIs such as Revenue, Gross Margin, and Average Order Value (AOV).
• Helped improve revenue targeting and stock planning by identifying high-performing product categories and optimal pricing tiers across regions
Amazon Brazil Sales Data Analysis | SQL, MySQL, Data Segmentation
• Analyzed customer and order data to understand purchasing behavior and seasonal performance trends.
• Wrote 20+ advanced SQL queries to segment customers into behavioral cohorts (New, Returning, Loyal) and detect top-selling product categories and revenue shifts.
• Supported marketing and loyalty strategy formulation by uncovering patterns in payment methods, order volumes, and regional preferences
Apr 2025
Mar 2025
• Created an Excel-based dashboard to visualize sales data by region, product type, and seasonality
• Used PivotTables, charts, and slicers to filter and analyze trends interactively; structured the data for clarity and stakeholder reporting.
• Helped improve stock distribution strategy by highlighting high-revenue areas and identifying peak sales periods
RESEARCH PUBLICATIONS
Cruise Control Using Traffic Sign Recognition Model for Autonomous Vehicles
Co-Author | Published in IEEE Conference Proceedings, 2024
Developed and trained a YOLOv8-based model integrating Traffic Sign Recognition with Cruise Control for autonomous vehicles. Improved speed compliance and road safety through real-time sign detection and adaptive speed control.
Off-Road Terrain Identification and Analysis
Co-Author | Published in Journal of Electrical Systems, Vol. 19, No. 4, 2023
• Proposed a terrain classification model using CNN and transfer learning to support off-road autonomous navigation. Utilized the CaT-CaVS dataset for traversability analysis, enhancing safety in unstructured environments.
EDUCATION
Chandigarh University
Jun 2024
Dec 2023
Aug 2021 – Jun 2025
Bachelor of engineering in Computer Science (AI & ML) Mohali, Punjab
CERTIFICATIONS
• SQL (Intermediate) – HackerRank, Mar 2025.
• Data Visualization Virtual Internship – Excelerate, Star Performer, May 2025.