Avanish Singh

Engagement: HardWare Test

Role: Staff Data Scientist

• Spearheaded a team of data scientists and machine learning engineers to enhance the efficiency of the hardware testing team.
• Projects:Hardware Test Error Summarization: Developed a summarization framework to identify and analyze recurring test errors.
  AI-Based Anomaly Detection: Designed and implemented AI models to capture anomalies from test logs, reducing bug detection time by 50%.
  

Engagement: COMPONENT EOL

Role: Staff Data Scientist

• Collaborated with the component engineering team to address critical business challenges through predictive analytics.
• Projects:Component End-of-Life Prediction: Built machine learning models to predict component lifecycle, enabling proactive supply chain management and risk mitigation.
  

Engagement: DEMAND RADAR

Role: Lead Data Scientist

• Developed an in-house tool, Demand Radar, to predict product demand at various levels with an average accuracy of 82%.
• Successfully implemented the solution across 63 countries, achieving a compounded ROI of 7.2X and increase in revenue by 4.2%.

Engagement: ASSORTMENT PLANNING

Role: Data Scientist

• Designed a framework for SKU optimization to streamline product assortment.
• Deployed the solution in 3 countries, resulting in a 2.7% increase in net sales compounded annually.

Engagement: SHARE OF SHELF

Role: Data Scientist

• Built a framework to optimize product share on shelves, improving efficiency in the Indian market.
• Achieved cost savings of 3.1% through enhanced allocation strategies.

Engagement: ACTIVATION PLANNING

Role: Data Scientist

• Designed a framework to determine the optimal number of SKUs to activate in a given month, driving efficiency in product lifecycle management.

Engagement: PROMOTIONAL MODELING

Role: Data Scientist

• Developed a predictive framework to estimate demand in the presence of promotions, integrating advanced statistical and machine learning techniques.
• Achieved an average accuracy improvement of 3.5% over APO forecasts, enhancing decision-making for promotional strategies.

Engagement: RECOMMENDER ENGINE

Role: Data Scientist/ML Engineer

• Designed and implemented a recommendation system for a legal web-based application, serving as the Unique Selling Proposition (USP) of the product.
• Enhanced user engagement and experience by delivering personalized and context-aware recommendations.

Engagement: ROUTE OPTIMIZATION

Role: Data Scientist

• Developed a route optimization tool to determine the optimal delivery paths and fleet size while considering complex business constraints.
• Achieved annual cost savings of 5-6%, enhancing operational efficiency.

Engagement: FRAUD AND DUPLICATE BILL DETECTION

Role: Data Analyst

• Designed and implemented a fraud and duplicate bill detection system for the HR department, automating claim validation processes.
• Reduced 4.8% of total claims, improving compliance and reducing financial leakage.