Summary
Overview
Work History
Education
Skills
Interests
Timeline
Generic
Priya Phatale

Priya Phatale

Data Scientist
Bengaluru

Summary

Data Scientist / Data Engineer with expertise in designing and implementing end-to-end data solutions. Skilled in working with machine learning models into production. Strong understanding of statistical analysis, machine learning, and data engineering best practices to deliver scalable, actionable insights that drive business growth.

Overview

9
9
years of professional experience
3
3
Languages

Work History

Data Analytics Specialist

Philips India Limited
08.2022 - Current
  • Passionate and results-driven Data Scientist with more than two years of experience leveraging data-driven insights to deliver impactful business solutions. Skilled in analyzing complex datasets, building predictive models, and presenting actionable insights to stakeholders.
  • Proficient in Python, with expertise in data manipulation, analysis, and visualization using tools such as Power BI, Pandas, NumPy, and Mat. Adept at applying statistical and machine learning techniques to solve real-world problems, including predictive analytics, and optimization tasks.

Computer Science Faculty

Shambhavi's Academy
08.2016 - 08.2019
  • Demonstrated an extensive understanding of programming languages to appropriately educate competent, high-achieving Computer Science students.

Education

Master of Technology - Artificial Intelligence

Amrita Vishwa Vidyapeetham
Amritapuri, Kerala
04.2001 -

Bachelor of Technology - Computer Science and Engineering

MGM's College of Engineering
Nanded, Maharashtra
06.2016

Diploma - Computer Science and Engineering

IIT, Vishnupuri
Nanded, Maharashtra
06.2013

Secondary Education - Class X

N. K. Highschool
Nanded, Maharashtra
06.2010

Skills

  • Python Expertise
  • OOPS
  • SQL
  • Machine learning
  • Deep Learning
  • Power Bi

Interests

Warehouse Workload Forecasting & Supply Chain KPI Dashboard Developed and deployed a machine learning model to forecast weekly warehouse workload, leveraging historical order data, supplier lead times, and seasonal demand patterns to optimize resource allocation and reduce operational bottlenecks Designed and implemented an end-to-end data pipeline for data cleaning, feature engineering, and model training using Python (Pandas, Scikit-learn) and SQL

Additionally, built interactive Power BI dashboards to visualize key supply chain management KPIs such as On-Time Delivery Rate, Purchase Order (PO) Management Efficiency, Supplier Lead Time, and Inventory Levels, providing actionable insights for procurement and logistics teams Collaborated closely with business stakeholders to automate reporting, improve data accuracy, and support data-driven decision-making, leading to a measurable improvement in delivery performance and inventory turnover

Timeline

Data Analytics Specialist

Philips India Limited
08.2022 - Current

Computer Science Faculty

Shambhavi's Academy
08.2016 - 08.2019

Master of Technology - Artificial Intelligence

Amrita Vishwa Vidyapeetham
04.2001 -

Bachelor of Technology - Computer Science and Engineering

MGM's College of Engineering

Diploma - Computer Science and Engineering

IIT, Vishnupuri

Secondary Education - Class X

N. K. Highschool
Priya PhataleData Scientist