Summary
Overview
Work History
Education
Skills
Digital Skills
Certification
Patents
Thesis
Languages
Disclaimer
Timeline
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Manan Parmar

Manan Parmar

Summary

Results-driven professional with a Chemical Engineering and Supply Chain Management background, an MBA, and a Master's in Big Data. Proven Operations Executive skilled in lean methodology and scrum. Expertise in machine learning for solar forecasting. Currently excelling as a Risk Market Analyst at RWE, enhanced skills for Answer Set Programming, GIT, Python, Tableau, PowerBI, and advanced Excel. Ready to bring a unique blend of technical skills and strategic thinking to drive impactful insights in data and business analysis.

Overview

3
3
years of professional experience
5
5
Certification

Work History

Intern - Risk Market Data Analyst

RWE Supply and Trading
04.2023 - Current
  • Analyzed market risks using Answer Set Programming (ASP) and rule-based languages
  • Contributed to data migration initiatives, ensuring seamless integration of systems
  • Utilized Python for efficient data analysis and automation of routine tasks
  • Collaborated with cross-functional teams to enhance risk and data management processes
  • Employed GIT for version control and collaboration on team projects
  • Developed and maintaining insightful dashboards using Tableau and PowerBI.
  • Managing the data with dremio and Databricks.
  • Experience in Azure DevOps.
  • Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
  • Analyzed problems and worked with teams to develop solutions.

Operation Executive

Techno Electromech Private Limited
07.2020 - 09.2022
  • Lead cross-functional teams in project management and operations, applying lean management principles for waste reduction and improved performance
  • Optimized purchase and vendor management processes, contributing to cost savings and improved supply chain efficiency
  • Managed purchase activities and vendor relationships, ensuring timely and cost-effective procurement of raw materials
  • Used data management techniques, creating dashboards for insightful decision-making
  • Oversaw warehouse and inventory management, optimizing processes for increased efficiency.
  • Developed strong relationships with vendors, improving collaboration and negotiation outcomes.
  • Conducted thorough market research for informed decision-making on business strategies.
  • Introduced new methods, practices, and systems to reduce turnaround time.
  • Applied excellent problem-solving, process development, and strategic implementation skills to lead and support all areas of operations.

Education

Master of Science - Big Data And Business Analytics

FOM University
Essen, Germany
12.2023

MBA - Supply Chain And Operation Management

Navarachna University
Vadodara
04.2020

Bachelor of Science - Chemical Engineering

Parul Institute of Technology
03.2020

Skills

  • Business Analytics
  • Data Analytics
  • Data Management
  • Data Migration
  • Data Interpretation
  • Analytical Mindset
  • Vendor Management
  • Logistics Coordination
  • Scrum Project Management
  • Purchase Management
  • Supply Chain Operations
  • Agile Methodology
  • Lean Management
  • Team Leadership
  • Project Support
  • Project coordination
  • Program Evaluation
  • Project Planning
  • Scheduling Coordination
  • Risk Assessment
  • Project Management
  • Production Planning
  • Database Management

Digital Skills

  • Microsoft excel
  • PowerBI
  • Tableau
  • Python
  • DataBricks
  • Git
  • Dremio
  • Endure
  • Answer Set Programming
  • Microsoft Project

Certification

  • Lean Six Sigma White Belt By American Institute
  • Lean Six Sigma Yellow & Green Belt By IMC,Dubai
  • Project Management Certification Training
  • Tablaue by Simplilearn
  • SQL Basic to Advance by Udamy
  • Power BI by GrowthSchool
  • Professional Scrum Master Training

Patents

Skin Tone Analysis and Personalized Recommender System of Cosmetics using AI Techniques

Reg. Date - 09/19/2022

Patent Np.-20221053537

Thesis

Prediction Accuracy of Solar Power Generation Using Various Machine Learning Tools to Predict Solar Energy Generation

  • Applied different machine Learning Techniques like Linear Regression, XG Boost, Random Forest regression and Decision Tree regression to check the accuracy of the ML and predict the solar energy production based on historical data.
  • Linked 4 ML with Economical Theory like Efficient Market Hypothesis (EMH), Supply and Demand Theory and Game Theory (Prisoner's Dilemma) to explain how economical it works with ML.

Generating and Managing Inventory and supply Chain system for Sicgil Industrial Gases Ltd.

  • Fulfilled the Inventory and Supply chain management system and finding the root cause with primary research with the help for organization's employee survey

Languages

English - Fluent (C2)
Hindi - Native
Gujarati - Native
German - Beginner (A2)

Disclaimer

I, hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibilities for correctness of above-mentioned particulars.

Timeline

Intern - Risk Market Data Analyst

RWE Supply and Trading
04.2023 - Current

Operation Executive

Techno Electromech Private Limited
07.2020 - 09.2022

Master of Science - Big Data And Business Analytics

FOM University

MBA - Supply Chain And Operation Management

Navarachna University

Bachelor of Science - Chemical Engineering

Parul Institute of Technology
Manan Parmar