Sunny Bibyan's profile picture

Name: Sunny Bibyan

Job Role: Data Analyst

Experience: 5+ Years

Address: Gurugram, India

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 80%

About

About Me

With over 5 years of experience as an Electronics Engineer at Samsung India and Vivo Mobile, I am transitioning into data science and analytics. I have accomplished a bachelor's degree in engineering and am skilled in Python, SQL, Excel, and data visualization tools like Power BI. Proficient in data analysis, statistical analysis, hypothesis testing, customer behavior analysis, and machine learning, I have successfully led projects that optimize production processes. My analytical mindset and passion for data-driven insights drive my commitment to excellence in data science.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, BFSI & Digital Marketing
  • Education: Bachelor of Engineering
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI
  • Other Skills: Cloud, Excel, Git, Google Analytics & SEO
  • Interest: Drawing, Traveling

0 +   Projects completed

LinkedIn

Resume

Resume

Seasoned Data Analyst with 5+ years of experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.

Experience


2019-2022

Repair Analyst

Samsung India Electronics Pvt Ltd

Samsung India Electronics Limited, Noida, is an electrical/electronic manufacturing company in the appliances, electrical, and electronics manufacturing industry.

  • Optimized production by analyzing and reducing motherboard defects by 30%, directly enhancing manufacturing throughput.
  • Directed a team of 10-engineers, resolving conflicts and streamlining processes to maintain a 15% increase in productivity.
  • Improved mobile device repair efficiency by 25% through data-driven process enhancements, reducing hardware and software issue resolution times.
  • Employed Advanced Excel functions (VLOOKUP, Pivot Tables) to elevate data analysis and automate report generation, reducing manual workload by 2 hours daily and enhancing workflow efficiency by 40%.
  • Managed comprehensive reporting, utilizing KPI analysis to drive a 20% improvement in departmental decision-making efficiency.

2017-2019

TRC Engineer

Vivo Mobile India Private Ltd

Vivo Mobile India Pvt. Ltd., a leading mobile manufacturing company, operates within the Appliances, Electrical, and Electronics Manufacturing industry. The company is based in Greater Noida, Uttar Pradesh, and employs between 5,000 and 10,000 people.

  • Reduced technical issues in production by 40% through detailed analysis and customer-focused problem-solving.
  • Achieved a 35% decrease in smartphone repair times by specializing in both functional hardware and software components. •
  • Contributed to a 50% reduction in scrap and rejection rates, elevating product quality and customer satisfaction.
  • Improved Inventory Management: Implemented a systematic approach to track repair parts and inventory levels, reducing parts shortages and excess inventory by 10%, ensuring that repair operations ran smoothly and efficiently.



Education


2019-2022

Bachelor of Engineering

Deenbandhu Chhotu Ram University of Science and Technology

Grade: First class distinction.

2013-2016

Diploma in Engineering

Haryana State Technical Education Society (HSTES)

Grade: First class distinction.

Projects

Projects

Below are the Data Analytics projects on SQL, Python, Power BI & ML.

Call Centre Power BI Dashboard

Create a dashboard in Power BI to visualize relevant KPIs and metrics that will help the call center manager understand trends.

Diversity & Inclusion Power BI Dashboard

Create visualizations to represent HR data, particularly focusing on gender-related KPIs.

Customer Churn Analysis Power BI Dashboard

Designed a power bi dashboard for the retention manager reflecting the KPIs


Marketing Campaign Analysis Power BI Dashboard

This analysis aims to provide data-driven insights to optimize marketing strategies, improve engagement, and increase conversion rates across various digital channels.

Titanic Dataset - Exploratory Data Analysis (EDA)

The goal is to uncover insights about the factors that influenced the survival of passengers during the Titanic disaster.

Random Data Generation and Basic Statistical Analysis

This project generates a synthetic dataset using various statistical distributions, providing insights into the nature of random data.

Awards & Certificate

Awards & Certificate

Below is a list of Awards & Certificates.


More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Gurugram, India

Contact Number

+91 7876286522

Download Resume

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