Data Scientist Machine Learning

Ankit warathe

Data Analyst / Data Scientist

************@*****.***

831-***-****

Bengaluru, India

linkedin.com/in/ankit-warathe-161345b3

Data Scientist with expertise in machine learning, deep learning, and data analytics. Skilled in Python, SQL, Power BI, and Tableau, with experience in computer vision, NLP, and predictive modeling. Certified in Python for Data Science and Data Visualization, with a proven ability to optimize workflows and drive data-driven decision-making. Passionate about solving real-world problems through AI and analytics.

WORK EXPERIENCE

Iksula Services Pvt. Ltd.

Cataloging Executive E – Commerce

10/2023 - 09/2024, Mumbai, India

Designed and implemented efficient data cataloging frameworks to streamline data discoverability and usability. Conducted annotation tasks to label datasets accurately, ensuring high-quality data for machine learning and computer vision models. Collaborated with cross-functional teams to improve data workflows.

PERSONAL PROJECTS

Real-Time Demand-Supply Balancing for Power Trading

(03/2025 - 04/2025)

Business Problem: In power trading, price volatility and demand-supply imbalances introduce significant financial risks for market participants. The key challenge was to integrate data from various sources, manage market uncertainties, and build a system capable of optimizing trading decisions in real-time.

Business Solution: We collected and consolidated data from different research paper source. After thorough data preprocessing using Python and SQL, we performed exploratory data analysis (EDA) and built forecasting models using XGBoost, Random Forest, and Autoregressive techniques. The final solution was deployed as an interactive Streamlit web application that forecasts electricity prices one month ahead, enabling informed and strategic trading decisions.

Switchgear Cabinet Part Identification (10/2024 - 11/2024) Business Problem: The manual identification and labeling of switchgear components was time-consuming, prone to human error, and led to inefficiencies in electrical equipment management and operations. Business Solution: We utilized computer vision techniques to automate the identification of switchgear cabinet parts. Data was annotated and augmented using Roboflow, and a YOLO-based object detection model was trained using PyTorch and OpenCV. The final solution was deployed as a user-friendly Streamlit web application that allowed real-time part detection and labeling. EDUCATION

MASTER OF TECHNOLOGY IN INDUSTRIAL

DESIGN

Maulana Azad National Institute of Technology,

Bhopal (2018–2020)

2018 - 2020, Bhopal, India, 8.56

BACHELOR OF ENGINEERING IN MECHANICAL

ENGINEERING

Radharaman Institute of Technology and Science

2012 - 2016, Bhopal, India, 7.75

SKILLS

Python SQL Machine Learning

Deep Learning Computer Vision Yolo

Power BI Tableau Matplotlib

Seaborn Docker Streamlit Flask

Advance Excel DAX Statistics

CERTIFICATES

Python for Data Science Certification by IIT

Madras (07/2023 - 08/2023)

Basic SQL Course by 360DigiTMG (09/2023)

Data Visualization using Power BI by

360DigiTMG (09/2023)

Data Science using Python by 360DigiTMG

(10/2023)

Data Visualization Using Tableau by

360DigiTMG (03/2024)

Python Fundamentals by NASSCOM

(12/2024)

Certificate Course on Data Science by

NASSCOM (02/2025)

LANGUAGES

English

Full Professional Proficiency

Hindi

Full Professional Proficiency

INTERESTS

Computer Vision Artificial Intelligence

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