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I'm Sunny Bibyan



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Name: Sunny Bibyan

Job Role: Data Analyst

Experience: 5+ Years

Address: Gurugram, India

Skills

SQL, Power BI, Microsoft Excel, Python, Statistics

About

About Me

Hi, I’m Sunny Bibyan, a Data Analyst with 5+ years of experience in Electronics Manufacturing Services (EMS). I specialize in data cleaning, EDA, and creating interactive dashboards using Python, SQL, Power BI, and Excel. My EMS background has honed my skills in failure analysis, process optimization, and trend forecasting. With expertise in predictive modeling and clustering, I transform raw data into actionable insights that drive business success. Explore my portfolio to see how I turn data into impactful solutions. Let’s connect!

  • Profile: Data Science & Analytics
  • Education: Diploama+ Bachelor of technology in ECE
  • Language: English, Hindi
  • Interest: Drawing, Traveling

0 +   Projects completed

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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

Failure Analysis Engineer

Samsung India Electronics Pvt Ltd

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

  • Conducted data analysis on defective motherboards using Excel and SQL, reducing defect rates by 30% and improving production efficiency.
  • Designed Power BI dashboards for data visualization, tracking KPIs, defect trends, and process metrics to support data-driven decision-making.
  • Performed root cause analysis with statistical methods, boosting production throughput by 15%.
  • 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%.
  • Analyzed RF testing data to optimize processes, improving testing throughput by 15%.
  • Applied predictive analytics to forecast failure rates, providing actionable insights for proactive process improvements.
  • Monitored and analyzed performance metrics (test yields, defect rates) to recommend corrective actions, enhancing overall efficiency.
2017-2019

TRC Technican

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.

Download CV

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.

Google Data Analytics Professional Certificate

PwC- Power BI Forage virtual Internship

AWS Solutions Architect


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

Email Address

Sunnykumar6121997@gmail.com

Download Resume

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