Aayushi Sharma

AI Researcher

Delhi, India6 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed impactful data-driven solutions across multiple industries.
Created a comprehensive recommendation engine boosting sales by 15%.
Automated pricing processes, increasing profit margins by 12%.

Stackforce AI infers this person is a Data Scientist specializing in Machine Learning and Data Analytics across Automotive and Retail sectors.

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Skills

Core Skills

Machine LearningData Science

Other Skills

API DevelopmentAgentic AIAmazon Web Services (AWS)Anomaly DetectionArtificial Intelligence (AI)Artificial Neural NetworksBinary ClassificationClusteringComputer VisionCustomer SegmentationData AnalysisData VisualizationDeep LearningFastAPIFlask

About

As an experienced Data Scientist, I specialize in implementing impactful data-driven solutions with a focus on machine learning, deep learning and genai. I've had the privilege of transforming complex, raw data into strategic assets across industries such as banking, retail, automotive and marketing. My passion lies in extracting powerful insights from data to address real-world business challenges. I bring a track record of leveraging advanced analytics to deliver actionable insights. Committed to driving data-driven decision-making through innovative solutions. Skills: Programming language: Python, SQL Data science techniques : Regression, Classification, Clustering, Time-series forecasting, Anomaly detection, Recommendation System, NLP, GenAI, LLMs, RAG Data visualization: Power BI, Matplotlib, Seaborne, Plotly Database: SQL server, PostgreSQL, MYSQL Cloud: AWS Sagemaker, S3, Athena, Lambda, Glue, Batch, Step Function, AWS Personalize, AWS Transcribe, Azure Basics API Dev: Fast api, API gateway, Postman

Experience

6 yrs 5 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 10 mos

Current Experience

Nagarro

2 roles

Associate Staff Engineer - Data Science

Promoted

Jul 2024 – Present · 1 yr 10 mos · Gurugram, Haryana, India

Senior Engineer - Data Science

Jun 2022 – Jun 2024 · 2 yrs · Gurugram, Haryana, India

Developed a comprehensive recommendation engine for automobile spare parts. Goal was to drive higher sales, optimize inventory and improve user experience by delivering personalized product suggestions.
Developed a product recommendation model leveraging purchase history and product attributes to suggest most relevant spare parts. Developed a quantity recommendation model to suggest optimal quantity of each part. Developed a frequently bought together model encouraging cross selling. Built a forecasting model for better inventory planning. Built a customer segmentation model for Personalized recommendations. This led to 15% boost in sales , 20% stockouts reduction improved user retention by 10%
Automated the price increase process for a retail firm to reduce manual efforts and optimize pricing for better margins. Analyzed historical data to identify trends and patterns. Developed KPI reports to provide actionable insights for pricing decisions.
Developed models for price optimization for margin maximization, customer segmentation for personalized pricing and demand demand forecasting for improved inventory planning.
Reduced manual efforts by 40% and increased profits margins by 12%.
Developed a machine learning toolkit to automate and standardize key components of ML lifecycle. Automated data processing, feature engineering, model training, scoring engine and evaluation while integrating various ML models like regression, classification, clustering, anomaly detection etc. into the platform. Built API endpoints for real time predictions

Recommendation SystemForecastingCustomer SegmentationPrice OptimizationAnomaly DetectionMachine Learning+1

Nabler

Data Scientist

Mar 2022 – May 2022 · 2 mos · Bengaluru, Karnataka, India

Developed an anomaly detection system to identify unusual spending patterns during marketing campaigns. Analyzed trends and built machine learning and deep learning models. Helped optimize campaign budgets and reduce anomalous spend by 20%.

Anomaly DetectionMachine LearningDeep LearningData Science

Tata consultancy services

2 roles

System Engineer

Promoted

Nov 2020 – Feb 2022 · 1 yr 3 mos · Noida, Uttar Pradesh, India

Built a customer segmentation model to enhance targeted marketing for insurance products. Integrated data from multiple sources and implemented Clustering techniques, increasing customer acquisition by 15%. Developed reports and monitoring processes to ensure model accuracy and performance.

Customer SegmentationClusteringData ScienceMachine Learning

Assistant System Engineer

Jun 2019 – Oct 2020 · 1 yr 4 mos · Noida, Uttar Pradesh, India

Developed a predictive model to optimize insurance products pricing using customer demographics, claims history, and income data. Built an end to end machine learning pipeline, improving pricing accuracy by 18% and increased revenue by 12%.
Analyzed insurance sales data to track key performance indicators (KPIs) like profit, sales, volume, market share and growth. Developed interactive dashboards for stakeholders, to identify trends which drive business decision making.

Predictive ModelingData AnalysisData ScienceMachine Learning