Business Intelligence, Analytics, Data Science, Product Management

VINEETH PYDI

765-***-**** *******.****@*******.*** linkedin.com/in/vineethpydi vineethpydi.com PROFILE

Certified Data Scientist with ~4 years of accomplishments in data science and statistical methods. Demonstrated success in leading teams, fostering cross-functional collaboration, and effectively communicating with both technical and non-technical audiences. SKILLS

Technical Tools: SQL, Python (PyTorch, PySpark, Scikit-learn, NumPy, Matplotlib, Seaborn), Tableau, Advanced Excel, Git, Hive, SAS, AWS SageMaker, AWS Quicksight, GCP BigQuery, Vertex AI, Looker Studio, Jira, Confluence Statistics: Data Mining, A/B Testing, Hypothesis testing, ANOVA Modeling: Regression, Clustering, Classification, Time-series forecasting, Deep Learning, Transformer Models, LLMs Certifications: DataCamp Data Scientist Professional Certificate, Certified Analytics Professional (aCAP®), Certified Scrum Master (CSM®), SQL (Advanced) HackerRank, AWS Cloud Practitioner, Tableau Desktop Specialist, Google Certified Data Analyst, Operations Research with SAS Optimization EDUCATION

Purdue University, Daniels School of Business West Lafayette, Indiana Master of Science in Business Analytics and Information Management August 2024 Publications: Application of Transformer Models for Demand Forecasting in FMCG Industry (In progress - ICDATA 2024)

• Developed demand forecasting AI models integrating competitor data and market insights to enhance forecast accuracy SRM Institute of Science and Technology Chennai, India Bachelor of Technology in Electronics and Communication Engineering March 2020 Publications: Translation of Gesture-Based Static Sign Language to Text and Speech (IOPScience)

• Developed a CNN-based machine learning model to translate static sign language gestures into text and speech in real-time, enhancing accessibility for the deaf and mute community through computer vision PROFESSIONAL EXPERIENCE

Purdue University, Department of Management and Economics West Lafayette, Indiana Graduate Research Assistant/ Graduate Teaching Assistant Dec 2023 – Present

• Performed ETL processes to clean, merge, and load large datasets on the Cloud into an SQL server

• Facilitated hazard regression analysis to estimate the impact of crime and various demographics on the probability of moves for over 250 million US population and assisted in mentoring 75+ MS and MBA students Accenture Strategy (Internship/Capstone) Chicago, Illinois Data Science Consultant – AI/ML Dec 2023 – Apr 2024

• Steered demand forecasting for Mondelez, harnessing internal and external data through deep learning, data mining, and text analytics to improve strategic decision-making with data-centric insights, resulting in an 8% improvement in forecast accuracy

• Led the development and implementation of novel time series Transformer models for FMCG demand forecasting, by using advanced ML/AI techniques

American Express Bengaluru, India

Assistant Manager – Risk Products and Data Strategy Sep 2022 – Jul 2023

• Led an agile team of 5 decision analysts in implementing effective risk mitigation strategies for US digital banking and payment products across onboarding, acquisition, and payment decisions

• Integrated advanced data models, risk rules and strategies, reducing risk exposure by 15%, and realizing annual savings of

$1.2M; Instrumental in receiving the 2023 Edward P. Gilligan Award for Innovation for the team

• Directed Fastrack and PI initiatives from data requirement gathering and grooming to solution delivery, while optimizing processes to enhance data pipeline efficiency across the entire risk product lifecycle Analyst – Risk Products and Data Strategy Jan 2022 – Sep 2022

• Collaborated with cross-functional Credit, Fraud, and Data Science teams to develop, validate, and implement risk models achieving over $700K annual savings through improved data-driven risk decisions

• Partnered with key stakeholders to integrate external credit bureaus and APIs, enhancing risk model accuracy by 8%, received the Star of the Quarter Q3 ’22 and Analyst of the Quarter Q2 ’22 awards

• Enhanced risk decision-making to reduce turnaround time by 20%, and played a key role in the integration and development of Amex-acquired Kabbage portfolio, yielding a $600K pre-tax income benefit ZS Associates Pune, India

Decision Analyst Jan 2020 – Jan 2022

• Leveraged data analysis and modeling to design and implement incentive compensation plans that optimized sales performance for a 3-tiered 800+ salesforce for Bristol Myers Squibb, achieving a 12% increase in sales

• Delivered data-driven insights and actionable recommendations to leadership, automated and optimized workflows, reducing manual effort by 20% and ensuring accurate quarterly payouts for over 800 sales reps

• Analyzed COVID-19's impact, forecasting a 15% sales variance, leading to incentive plan adjustments that resulted in a 10% sales growth within the next quarter, thereby ensuring fairness and motivation for the salesforce

• Spearheaded the migration from SAS to AWS, enhancing data and machine learning workflows by integrating AWS S3, Glue, Redshift, and SageMaker, achieving a 20% reduction in operational costs

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