Data Science with less than a year in Business Analysis and strong skills in Data Analysis, Machine
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Saba Mulani is a dedicated professional with experience as a Business Analyst, specializing in healthcare insurance plan setup and medical document analysis. She has a proven track record of developing dynamic dashboards for sales performance, conducting in-depth data analysis for business insights, and leveraging feature engineering for predictive modeling. Her expertise spans data cleaning, preprocessing, and utilizing tools like MySQL, Python, and Power BI to drive data-driven strategies and optimize business processes.
Abeda Inamdar Junior College Pune
HSC
June 1, 2017 – May 31, 2019
ST Joseph's Bethany Convent School Pune
SSC
June 1, 2017 – May 31, 2017
Infosys
Business Analyst - Senior Process Executive
March 1, 2024 – Present
India
COVID SQL Data Cleaning and Data Exploration
June 1, 2026 – June 1, 2026
Utilized Joins, CTEs, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, and Data Cleaning techniques. Focused on Converting Data Types. Project linked on GitHub.
View ProjectSales Analysis & Performance Dashboard
June 1, 2026 – June 1, 2026
Developed a dynamic dashboard to track $12.6M in total sales and $1.5M in profit, providing a high-level view of global business health. Visualized sales distribution across markets (APAC, EU, US) and segments, identifying Consumers as the primary revenue drivers at 51.5%. Analyzed performance across 17 sub-categories, pinpointing Phones and Copiers as top-selling items to guide inventory and marketing strategies.
Black Friday Sales EDA and Feature Engineering
June 1, 2026 – June 1, 2026
Cleaned a dataset of over 500,000 entries by handling missing values in product categories and encoding categorical variables like Gender and Age for model readiness. Conducted Exploratory Data Analysis (EDA) to identify that Male customers and the 26-35 age group are the highest contributors to total purchase volume. Optimized the dataset by mapping ordinal features and converting complex categories into numerical formats to improve the accuracy of sales predictions.
Complete Python Programming
Udemy
June 1, 2026 – Present
PL-300 Microsoft PowerBI Data Analyst
Infosys LEX
June 1, 2026 – Present
SQL for Data Analytics
Infosys LEX
June 1, 2026 – Present
Goethe-Zertifikat A1
Goethe Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (sales analysis, Black Friday EDA, COVID SQL) shows a broad interest in applying data skills to different domains. The certifications indicate a self-driven learning attitude. However, the professional experience is limited to a Business Analyst role in healthcare, which is not directly aligned with a senior Data Science role. The projects are personal and lack team collaboration aspects, which are crucial for cultural fit in a senior role. The breadth of skills is foundational rather than advanced, suggesting a need for significant upskilling to meet senior-level expectations.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an analytical mindset and a structured approach to problem-solving, particularly in data cleaning and insight generation. The current role as a Business Analyst at Infosys, while not directly data science, involves extensive data interpretation and accuracy review, which are transferable skills. The promotion and awards indicate a proactive and high-performing individual. However, the experience level is entry-level for a Business Analyst, and the data science projects are personal, which might require more operational guidance in a professional data science setting.