k

karre Srikanth

About

Detail

Hyderabad, Telangana, India

Timeline

work
Job
folder
Project

Résumé

Jobs verified_user 0% verified
  • 3
    Data Science Intern
    360DigiTMG
    May 2024 - Jul 2025 (1 year 3 months)
    • Received extensive training in Machine Learning, Deep Learning, and Data Analytics. • Gained hands-on experience in data preprocessing, feature engineering, and model optimization. • Worked on real-world projects, including predictive analytics, NLP, and computer vision applications. • Developed and deployed ML models using Python, TensorFlow, and Flask for business use cases. • Collaborated with a team to implement EDA, data visualization, and statistical modeling for decision-making. • Improved skills in SQL, Power BI, and cloud-based ML model deployment.
Education verified_user 0% verified
  • B
    Bachelor's in Computer Science
    Bharathiya Vidya Bhavans Vivekananda College of Science, Humanities & Commerce
  • 3
    Structured Query Language
    360DigiTMG
  • NASSCOM
    SSC NASSCOM Python Fundamental
    NASSCOM
  • IBM
    Prompt Engineering for Everyone
    IBM
  • B
    M.Sc in Computer Science
    Bharathiya Vidya Bhavans Vivekananda College of Science, Humanities & Commerce
  • NASSCOM
    SSC NASSCOM Data Science
    NASSCOM
  • S
    M.P.C
    Sri Chaitanya Junior Kalasala
  • 3
    Data Science Certificate
    360DigiTMG
  • 3
    Python Programming
    360DigiTMG
  • 3
    Analyzing and Visualizing Data with Microsoft Power BI
    360DigiTMG
Projects (professional or personal) verified_user 0% verified
  • P
    Pallet Detection and Counting LINK
    May 2025 - Jun 2025 (2 months)
    Problem: Manual tracking and counting of pallets in warehouses and logistics centers is time-consuming, prone to human error, and inefficient. This leads to inventory mismatches, operational delays, and higher labor costs. Solution: An AI-based solution was developed using computer vision techniques to automatically detect and count pallets in real-time from warehouse surveillance footage. The system leverages a Convolutional Neural Network (CNN) trained on custom-labeled pallet images to ensure high accuracy even in clutered or low-light environments. It integrates seamlessly with existing surveillance systems and provides real-time dashboard updates for inventory monitoring. Stack: Programming Modeling: Python,
  • 3
    Pallet Detection and Counting LINK
    360DigiTMG
    Mar 2025 - May 2025 (3 months)
    Problem: Manual tracking and counting of pallets in warehouses and logistics centers is time-consuming, prone to human error, and inefficient. This leads to inventory mismatches, operational delays, and higher labor costs. Solution: An AI-based solution was developed using computer vision techniques to automatically detect and count pallets in real-time from warehouse surveillance footage. The system leverages a Convolutional Neural Network (CNN) trained on custom-labeled pallet images to ensure high accuracy even in clutered or low-light environments. It integrates seamlessly with existing surveillance systems and provides real-time dashboard updates for inventory monitoring. Stack: Programming Modeling: Python,
  • I
    Iron Ore Price Prediction LINK
    Jan 2025 - Feb 2025 (2 months)
    Business Problem: The Company procures Iron Ore, a critical raw material steel and manufacturing industries. The key challenges lies in efficiently procuring this commodity , as purchases are made on an ad-hoc basis without factoring in price volatility. At this reactive approach often result in higher procurement costs impacting overall operational efficiency and profitability. Business Solution: We collected the data from different research paper source and with data preprocessing process used different tools to clean the data using python, SQL ,EDA by doing these process and proceeded with data analysis using Power BI. Technology Stack: • Database: SQL, EDA, Python • BI Tools used: Power BI • Deployment Tools: Streamlit Business Benef