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Hello, I am

Jayesh Talele

Data Aspirant
Jayesh Talele

1

SQL
Project

1

Excel
Project

About

Me

Detail-oriented and analytical Data Analyst with hands-on experience in collecting, cleaning, and transforming
large, complex datasets to drive business insights. Proficient in Python, SQL, Power BI, and Advanced Excel,
with a strong foundation in statistics, data visualization, and exploratory data analysis (EDA). Skilled in
developing predictive models using machine learning techniques like regression, decision trees, and clustering,
along with applying feature engineering to enhance model performance. Adept at collaborating with cross
functional teams to deliver actionable insights and data-driven solutions. Experienced in using tools such as Git
for version control and documentation of analytical workflows. Passionate about solving real-world problems
through data and continuously improving data quality, accuracy, and reporting efficiency.

Key

Skills

Advance Excel

Power Bi

SQL

python

Tableu

My

Projects

Finance & Supply Chain Analytics: [SQL | Excel]
Finance & Supply Chain Analytics: [SQL | Excel]

Domain/Function: Led Business Intelligence initiatives and Financial Reporting, optimizing operational impact.

In this project, we delve into a dataset related to Finance & Supply Chain within the domain of AtliQ Hardwares. AtliQ Hardwares is a renowned hardware company specializing in PCs, printers, mice, and computers, boasting a global presence.

Sales Analytics(FMCG)
Sales Analytics(FMCG)

Domain/Function: Sales Analytics(FMCG)

Created 2 reports for the sales team which will help them to evaluate customer performance and understand their market performance with respect to their target.

My

Experience

 Unified Mentor : Data Analyst                                                                                                                                                                                         June 2024-June2025

Collected, cleaned, and preprocessed large and complex datasets from multiple sources to ensure data quality and integrity. Performed exploratory data analysis (EDA) using tools like Python (Pandas, Matplotlib, Seaborn) and Excel to uncover patterns, detect outliers, and support business insights. Built and evaluated predictive models using machine learning algorithms including linear regression, logistic regression, decision trees, and K-means clustering. Applied feature engineering techniques to improve model performance and interpretability. Collaborated with cross-functional teams to define project goals, present findings, and deliver actionable recommendations. Documented analysis workflows and maintained version control using Git for reproducibility and team Collaboration.

Awards

& Certificate

CB Cert

Excel: Mother of Business Intelligence

CB Cert

Get Job Ready: Power BI Data Analytics for All Levels 3.0