Omkar Jadhav

Omkar Jadhav

About

Detail

India
Contact Omkar regarding: 
work
Full-time jobs
Starting at USD5/hour
Flexible work
Starting at USD5/hour
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Internships
Starting at USD400/month
groups
Networking

Timeline

work
Job
school
Education

Résumé

Jobs verified_user 0% verified
  • Outlier
    Freelance Contributor
    Outlier
    Dec 2024 - Feb 2025 (3 months)
    • Worked on projects like Chivas ST, Hopper Code RLHF, and Cypher RLHF. • Hyper-tuned LLM models by rewriting, ranking, and generating prompts. • Improved model outputs by refining and structuring prompts effectively.
  • Excelerate
    DataAnalystAssociate Intern
    Excelerate
    Jan 2024 - Feb 2024 (2 months)
    • Led a team of 6 members, ensuring timely project delivery and resolving challenges to keep the project on track. • Prepared an interactive dashboard using Google Looker Studio to visualize sign-up trends and demographics, aiding in data-driven decision-making, created in the 4th week of the internship. • Applied Pandas and NumPy in Jupyter Notebook for data cleaning, preprocessing, and visualization, achieving actionable insights.
Education verified_user 0% verified
  • V
    Bachelor of Engineering
    Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology
    Dec 2021 - May 2025 (3 years 6 months)
Projects (professional or personal) verified_user 0% verified
  • P
    Plant Disease Classification System
    • Developed a robust plant disease recognition system using a dataset of 87,000 RGB images, categorized into 38 classes, to identify plant diseases accurately. • Applied advanced image augmentation techniques to improve model generalization and achieve performance. • Achieved 97% accuracy in disease detection through a well-structured training and validation dataset, ensuring consistent and reliable predictions.
  • T
    Telecom Customer Churn Analysis
    • Performed customer churn analysis using the Random Forest algorithm, achieving 88% accuracy and evaluating performance with precision and recall metrics. • Visualized customer data trends and insights using Seaborn and Matplotlib, making it easier for stakeholders to understand key patterns and drivers of churn. • Demonstrated the predictive power of the Random Forest model through precise metric evaluations, helping stakeholders reduce churn.
  • S
    Super Store Sales Dashboard
    • Created an interactive Power BI dashboard to analyze key sales metrics and identify business trends. • Created visualizations for segment analysis and payment mode breakdown, empowering data-driven decision-making and improving business strategies.