Shaiwal Sachdev Email & Phone Number

Noida, Uttar Pradesh, India

Leading faster productivity and growth using LLM and AI

Noida, Uttar Pradesh, India

Responsible for managing Data Engineering and Data science portfolios. Building Open AI powered applications.Lead projects for developing large scale Open AI RAG based chatbots.

Hyderabad, Telangana, India

1. Created ETL pipelines responsible for loading data, running machine learning models and saving the results.2. Improved sales forecasting models using hyperparameter tuning and automated MLOps components - data validation, model validation and model monitoring. Accurate forecasts helped the client in better resource management and planning.

Hyderabad, Telangana, India

1. Led the team and developed legal risk detection model using text classification that helped the business save manual effort and find high risk support tickets faster. This model filters more than 2 million tickets per day.2. Created Power BI dashboards that helped the clients in detecting outliers across Business segments based on different KPI metrics.3. Led the team of 3 people and build sales forecasting models that generate more than 1 million forecast at granular level.

Hyderabad, Telangana, India

1. Designed and developed unsupervised theme generation model using product feedback data based on keyphrase extraction, text embeddings, sentiment analysis, density based clustering and nearest neighbor classification. This helped client in keeping track of trending product issues per product segment. 2. Developed Social media dashboards, code review dashboards and event feedback dashboards that use theme generation model. This solution was also published in Azure… Show more 1. Designed and developed unsupervised theme generation model using product feedback data based on keyphrase extraction, text embeddings, sentiment analysis, density based clustering and nearest neighbor classification. This helped client in keeping track of trending product issues per product segment. 2. Developed Social media dashboards, code review dashboards and event feedback dashboards that use theme generation model. This solution was also published in Azure Marketplace.3. Integral part of ML team for MAQ Text Analytics Engine. Developed and deployed model endpoints for Topic Modeling, KeyPhrase Extraction, Sentiment Analysis models and PII Scrubber models.4. Developed end to end solution for API key generation and published MAQ Text Analytics SDK.5. Developed Large Scale Support ticket escalation risk prediction model that helped the client in improving support engineers productivity. Model predicts the risk for more than 1 million ticket per day. Show less

Hyderabad Area, India

1. Designed and created data visualizations in the Power BI Report that helped the business in tracking support tickets by top issues and severity.2. Created automation flow using PowerShell and Power Automate that validates and updates the Support Ticket information in the SQL Database.3. Created ETL pipelines using SSIS and Azure Data Factory responsible for loading, merging and implementing business logics for support tickets data.4. Created web scraping script for collecting… Show more 1. Designed and created data visualizations in the Power BI Report that helped the business in tracking support tickets by top issues and severity.2. Created automation flow using PowerShell and Power Automate that validates and updates the Support Ticket information in the SQL Database.3. Created ETL pipelines using SSIS and Azure Data Factory responsible for loading, merging and implementing business logics for support tickets data.4. Created web scraping script for collecting metadata and emails information across different categories of support. Using email data created ticket similarity recommendation toolkit that used flask framework and text similarity algorithms that helped support engineers find resolution faster. Show less

Kharagpur Area, India

I worked here as a research intern under Complex Networks Research Group, IIT Kharagpur.

Bachelor’S Degree, Information Technology, 9.28

Intermediate, 95.5%

High School, 92%