Sumedha Jauhari

I am a results-driven Senior Data Analyst with over 12+ years of experience using advanced analytics and AI to drive product, growth, and policy decisions across B2B, B2C (web & mobile), healthcare, and fintech. Known for linking analytics tightly to business goals by turning large‐scale user data into clear, actionable decisions on revenue, engagement, and efficiency. I bring strong business understanding and hands‐on AI skills to speed up analysis, streamline workflows and help cross‐functional teams move faster from questions to impact!

Throughout my career, I've leveraged my strong communication, collaboration, and analytical skills to drive results 📈. I enjoy working on personal data science projects, as well as following the advancements in AI and tech closely 🧑‍💻. As a passionate Data Science professional, I am always open to acquiring new skills, and learn about the cutting edge technology in this field!

My Personal and Professional Details

MY RESUME

Impactful Data Projects ✨

Exploratory Data Analysis (Fraud Detection and Employee Attrition Case Study)

Rules creation for stopping fraudulent transactions and exploratory analysis of employee attrition to understand its root causes

Data Visualization using Power BI and Tableau

Sales performance dashboard for AdventureWorks bike shop in Power BI and interactive sales dashboard with "dynamic breadcrumb trail" and "proportional brushing" using Tableau

Unsupervised Machine Learning Model (Clustering and Association)

Segmenting users with clustering and analyzing product affinity associations (identify products that are more likely to be purchased together) using Apriori Algorithm

Data Migration

Migrated critical data from legacy SAP ECC systems to SAP HANA across 10 countries while ensuring data accuracy, consistency, and completeness at Sembcorp Industries

Hypothesis Testing using statistical analysis

Implementing A/B testing on GrabGifts mobile application (office project)

Supervised Machine Learning Model (Regression and Classification)

Utilizing various regression models to predict dataset values and applying the KNN algorithm to classify emails as spam and implementing regression, random forest and xgboost to determine best ML model for the dataset

Skills💡

PROGRAMMING LANGUAGES & TOOLS 🧰

SQL, BigQuery
Data Visualisation - Tableau, PowerBI, MS- Excel 📈
Data Modeling - Lucidchart, PowerBI
Big Data Processing - Databricks, Pyspark, Python
Advanced MS- Excel- Power Pivot, Power Query
Cloud Computing - Azure, AWS
Google Analytics
Hadoop, Hive, AVRO, Parquet files processing
Natural Language Processing - HuggingFace
Other - JIRA, Confluence, Zoom, Slack, Figma, Alation, GSheet

MACHINE LEARNING & AI (GenAI) ⚙️

Databricks AI/BI, Genie, Cursor AI, Pandas AI, Microsoft fabric
Microsoft Co-pilot, AI chatbot using RAG, Prompt engineering
Exploratory Data Analysis (EDA)
AB Testing/Hypothesis Testing using Statistical Analysis
Prediction modeling and Forecasting 📊
Time Series modeling
Supervised/Unsupervised learning Algorithm
Natural Language Processing (Sentiment Analysis)

My abilities that are beyond AI's reach!🧑‍💻

Domain expertise
I have a decade of experience in Payments and Finance and in Startups, especially on both B2B and B2C fronts. My years of hands-on experience have provided me with insights and an understanding of industry intricacies, something that AI needs to improve.
Creativity and Innovation
I enjoy thinking creatively, suggesting inventive solutions, and making connections. I've completed several projects where I've showcased these skills.
Problem Definition
I have experienced defining and understanding the problem, which is crucial in my professional journey. I can understand business goals, identify relevant questions, and decide what problems are worth solving that AI cannot solve.
Handling Ambiguity
AI models cannot handle ambiguity and uncertainty. I can deal very well with incomplete or conflicting information, use intuition, and judge when data or requirement is unclear and ambiguous.
Communication Skills
I excel in simplifying technical stuff to non-technical audiences through examples and storytelling. Interpreting complex or non-linear model results and explaining them in a business context is challenging. While AI can produce results, conveying and delivering them to audiences is something that AI cannot do.
Handling biases and ethical considerations
Choosing an ethical path, understanding the implications of biased data, and ensuring fairness in tasks involving human judgment and considerations beyond technical aspects. In a world where businesses increasingly lean heavily on AI and Large Language Models (LLMs) like ChatGPT, understanding their decision-making behaviours is paramount. Research by a professor from INSEAD unveiled the findings on behavioural biases in ChatGPT and how it perceives risks differently than humans.
Technical skillset
Designing and implementing an A/B test involves practical considerations and integration with systems that are beyond the capabilities of an AI model.

Achievements 🎯

CERTIFICATIONS

Education ✴️

Uttar Pradesh Technical University, India

B.Tech (Hons) in Computer Science
July 2013

Interests 🌟

Badminton 🏸
Love the intense focus required that captivates me with its blend of speed, agility, and strategic finesse.

Meet-up Events 🎭
Attend Meetup events regularly to keep up with the latest developments, and to network with people from different backgrounds.

Travel ✈️
Enjoy hiking in nature and experiencing different cultures and landscapes in a foreign country.

Testimonials

"Sumedha has been integral part of Payment and Finance operations team at Grab Financial Group. She has done outstanding work designing and setting up the Payment Reconciliation Engine GRABA. Her technical solutions in data analysis are excellent. She's a valuable asset to the team and is always positive and cheerful to work with."

Tristan Wallaert, Director Payment and Finance Operations @Grab

"Sumedha had overseen the successful growth of the product over her time at Grab, partnering multiple impactful new channels for customer adoption. She was also exposed to both B2C and B2B domains, so she understands concepts of customer analytics and sales/marketing levers. She was also a positive presence within the team and had multiple cross team collaborations with other analytics teams to jointly solve problems for the customers. She demonstrated a hunger to make an impact and had a good work ethic. Sumedha will definitely add value and be a good addition to the analytics team at your organization. "

Ravish George, Product Analytics Manager @ Grab

Connect with me ✉️

Feel free to connect with me by emailing my email id sumedha.jauhari@yahoo.com or dropping your message on the Google Form. Looking forward to hearing from you!