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Suresh Keetha

Data Analyst • Hyderabad, Telangana • S*************@gmail.com • +91*******035 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 0 years of experience in data cleaning, ETL, visualization, and statistical analysis. Built end-to-end ETL pipelines and dashboards, applied statistical techniques and collaborative-filtering recommendations, and delivered actionable insights to stakeholders using Python, SQL, Power BI, and Tableau.

Technical Skills

Programming Languages: Python,R
Frameworks and Libraries: Pandas,NumPy,Matplotlib,Seaborn,scikit-learn,TensorFlow,Keras,OpenCV
Databases: SQL,MySQL
Data and Analytics: Excel,Feature Engineering,Power BI,Tableau,Recommendation Systems,Model Evaluation precision, recall, accuracy,Statistical Analysis,ETL pipeline development,Data preprocessing,Frame extraction
Tools and Methodologies: Jupyter Notebook,Google Colab,Git,GitHub
Deep Learning & Computer Vision: Convolutional Neural Networks,Image Augmentation

Work Experience

Cognifyz Technologies
Hyderabad, India
Data Analyst Intern
Jan 2026 – Feb 2026
Worked on data analytics and reporting for a technology services firm; processed customer and transactional datasets to support business insights and stakeholder reporting.
Tech Stack: Python, Pandas, NumPy, SQL, MySQL, Excel, Power BI, Tableau, scikit-learn
  • Developed an end-to-end ETL pipeline in Python to ingest and process 200,000+ records, reducing data preparation time by 40% and enabling faster downstream analysis (Pandas, NumPy, SQL).
  • Performed data cleaning, transformation, and feature engineering using Pandas and Excel to increase dataset usability for modeling and reporting.
  • Built interactive dashboards in Power BI and Tableau to visualize customer behavior across 15+ cities, enabling segmentation analysis and monthly reporting for business teams.
  • Applied statistical techniques to analyze pricing trends and customer patterns, producing actionable insights that fed into stakeholder decision-making.
  • Designed and implemented a collaborative-filtering recommendation system that improved user engagement by 12%; validated model performance using precision and recall metrics.
  • Presented analysis and dashboards to stakeholders, improving reporting accuracy by 25% and streamlining regular reporting workflows.

Projects

Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video
Tools Used: Convolutional Neural Networks, TensorFlow, Keras, OpenCV, Image Augmentation, Python, Model Evaluation
  • Developed a CNN-based deep learning model to detect object-based video forgeries by analyzing spatial features across video frames.
  • Performed data preprocessing, frame extraction, and image augmentation to expand training data and improve model generalization.
  • Applied computer vision techniques using OpenCV to localize and identify manipulated regions within video frames.
  • Evaluated model performance using accuracy, precision, and recall to quantify detection effectiveness and iterate on architecture.

Education

Sri Chaitanya Institute of Technology & Research (Affiliated to Jawaharlal Nehru Technological University)
Bachelor of Technology (B.Tech) – Computer Science & Engineering (AI & ML) • Hyderabad • 2021 – 2025

Certifications

Data Analytics Job Simulation — Deloitte Australia (Forage)
Python Programming Certification — Udemy
Data Visualisation: Empowering Business with Effective Insights — Tata Group (Forage)

Achievements

  • Certified Participant – ET GenAI Hackathon by The Economic Times & Unstop (completed Phase 1 & Phase 2) — 2026
  • Team Lead – B.Tech Major Project (Deep Learning-based Video Forgery Detection)
  • Top Performer – NCAT AI Challenge by Naukri Campus — May 2025: Recognized for analytical and problem-solving skills.

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