Anchit

Developing Data Pipeline for real time Financial Risk Assessment. Implementing Advanced Impact Analytics, Use-cases to expedite Financial decision making. Extracting core entities (Names & Addresses) from Unstructured Swift Financial Transactional Data.
Implementing ML Frameworks to detect Semantic Events from Unstructured Data. Integrating BI Rules with ML Algorithms to increase the Supervised Associations. Applying Feature Engineering & ML Algorithm Tuning to increase Product Coverage. Deploying ML Models on GCP Cloud.

Worked on a number of projects for several companies. In these projects, he had various responsibilities. Some of them include: deployed ML Models onto cloud platform; applied LSTM Models to detect the anomalies in Field Telecommunication services & predict the root cause of the anomalies; implemented TextRank Algorithms (using Graphs) to formulate knowledge-base and identify key gaps in Field Services; social network analysis; led a team to integrate Data Science models in an existing platform.

Ad Moderation Processor/Data Scientist, developing an automated Ad-Review process. Responsibilities: Worked closely with Ad-Review team to understand the Moderation Process & identify the key features for Data Modeling. Interaction with Business Teams to formulate the Problem Statement. Data Collection & Preparation from Data Warehouse. Built & Optimized Classifiers using Machine Leaning Techniques. Presented KPIs monthly in the Board Meeting. Coordinated with offshore & onsite teams for planning, monitoring deliverables, & milestones.

Experiment-based repair. Assisted automobile companies’ technicians to quickly access unique problems faced by their legitimate customers while using their automobile – helped Service Technicians to achieve Faster Resolution, reduce time-to-market for new problems, and reduce operational expenditure.

Intelligent investment tagging. Financial solutions for leading investment bankers – recommending the top performing stocks that would drive their revenue. Worked in conjunction with Financial Analyst to understand the financial review process. Applied Feature Designing & Engineering to prepare Data Model. Discussed the Accuracy & Impact every week with the stakeholders. Supported Engineering Team in incorporating Data Science Solutions to the financial platform. Implemented Processes to analyze Model Performance & Accuracy.

Worked as a NLP Engineer to extract the relevant Entities from Digital Media for Telecomm, Healthcare, & Sales companies. Identified valuable data sources & automated collection process. Analyzed large volume of information to discover Trends & Patterns. Build Predictive Models & Machine Learning Algorithms. Proposed Solutions & Strategies to Business Challenges. Collaborated with Engineering & Product Development teams.

Automated Data Collection from the Client Database. Assessed the effectiveness & accuracy of new data sources. Developed Custom Data Models & Machine Learning Algorithms. Coordinated with different functional teams to implement models & monitor outcomes. Developed Processes & Tools to monitor & analyze Model Performance & Data Accuracy.