Open to opportunities

Twinkle Vatwani

@twinklevatwani

Message

Data Analyst with expertise in machine learning and customer behavior.

Zimbabwe

Message

What I'm looking for

I seek a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data analytics.

I am a Data Analyst with 4 years of experience leveraging statistical, NLP, and machine learning techniques to address real-world challenges across various sectors, including insurance and manufacturing. My ability to transform both structured and unstructured data into actionable insights has been instrumental in supporting critical business decisions, from risk scoring to customer retention.

Throughout my career, I have developed analytical modules and dashboards that align with business goals, ensuring cross-functional collaboration and timely decision-making. My work has led to significant improvements in operational efficiency, such as reducing reporting errors and optimizing vendor payment cycles. I am passionate about using data to tell compelling stories and drive strategic initiatives.

Experience

Work history, roles, and key accomplishments

Junior Data Scientist

MindshiftAnalytics

Dec 2024 - Present (7 months)

Developed R-based analytical modules for FMS (Fleet Management System), used by mining clients to monitor fuel usage, idle time, speed behavior, and vehicle performance. Created site-specific reports for speed analysis, refueling (RFID/manual), idle benchmarking, and vehicle utilization using GPS data and field logs.

R GPS Data Logging Data Analysis Reporting

Assistant Manager - Data Science

PGPGlass

Oct 2023 - Present (1 year 9 months)

Delivered a bottle variance analysis tool for statistically analyzing gaps between CCTV and manual logs using ANOVA and stratified sampling, helping reduce reporting errors by shift and production line. Created a Power BI dashboard for supply chain team to track credit note volumes and optimized raw material pricing tolerances across multi-vendor inputs, reducing credit note issuance by 64% and im

ANOVA Stratified Sampling Power BI Python LLMs)Automation Data Extraction

Data Science Consultant

ABSLI

Feb 2022 - Present (3 years 5 months)

Built a classification model to assess customer risk profiles at the onboarding stage, helping the risk team flag high-risk applicants before policy issuance. Developed a fraud detection model focused on identifying early claim risks, allowing preventive checks before payout lock-in.

Classification Fraud Detection Python Power BI Risk Assessment

Associate Data Scientist

HDFCLifeInsurance

Jul 2018 - Present (7 years)

Performed customer segmentation on over 10 million customers using K-Means clustering based on policy behavior and demographics, enabling the marketing team to execute targeted upsell and cross-sell campaigns. Developed an email sentiment classification model for the persistency team to analyze inbound communications, helping them prioritize retention outreach and improve service quality.

Customer Segmentation Chatbot Development

Education

Degrees, certifications, and relevant coursework

Aegis School of Business, Data Science, Cyber Security & Telecommunications

Post Graduate Program in Data Science, Business Analytics & Big Data, Data Science, Business Analytics & Big Data

Completed a post-graduate program in Data Science, Business Analytics, and Big Data in association with IBM. Gained expertise in various data science methodologies and tools.

C.K. Pithawala College of Engineering and Technology

B.E in Electronics and Communication Engineering, Electronics and Communication Engineering

Obtained a Bachelor of Engineering degree in Electronics and Communication Engineering. Developed a strong foundation in engineering principles and problem-solving.