---
title: "Suhas H Vernekar - Senior AR Associate in Greater Bengaluru Area | Tal"
description: "Meet Suhas H Vernekar, Data Scientist | Machine Learning Engineer | Generative AI | NLP | Deep Learning | Python | SQL | XGBoost | PyTorch | LangChain | RAG | Computer Vision based in Greater Bengaluru Area. AI stack includes claude code, codex, and cursor. Explore public work links including githu..."
image: "https://tal.club/meet/suhas-h-vernekar/share-image"
---

# Suhas H Vernekar on Tal

## Headline

Data Scientist \| Machine Learning Engineer \| Generative AI \| NLP \| Deep Learning \| Python \| SQL \| XGBoost \| PyTorch \| LangChain \| RAG \| Computer Vision

## About

Aspiring Data Scientist and Machine Learning Engineer with hands\-on experience building end\-to\-end machine learning, deep learning, NLP, and Generative AI solutions\. Developed high\-impact projects including cybersecurity incident classification \(Macro F1: 0\.98\), used car price prediction \(R²: 0\.8891\), demand forecasting systems, facial emotion recognition using CNNs, and RAG\-based document question\-answering chatbots\. Skilled in Python, SQL, Scikit\-learn, XGBoost, PyTorch, LangChain, FAISS, and Streamlit, with strong expertise in data preprocessing, feature engineering, model optimization, deployment, and MLOps\-ready workflows\. Passionate about solving real\-world business problems through AI and machine learning\.

## Location

Greater Bengaluru Area

## AI stack

claude code

codex

cursor

glama

langgraph

huggingface

## Work experience

Senior AR Associate at ACN Healthcare RCM Services Pvt Ltd, Nov 2024 \- Jul 2025 · 9 mos, Bengaluru, Karnataka, India, \-Designed a Power BI web dashboard with 15\+ interactive reports covering AR aging, denial log by line of business, revenue mix, and payer\-wise transaction summary — eliminating manual \-Excel consolidation and reducing monthly reporting effort from 3 days to 2 hours \-Engineered a prompt\-optimized GPT\-4 pipeline that reads denial reason codes and clinical evidence to draft customized appeal letters — reducing appeal writing time from 45 to 5 minutes per case, increasing appeal volume 3x, and improving appeal success rate by 12%\. \-Implemented a Power BI \+ Teams real\-time SLA alert system with drill\-down to root causes \(payer, document type, processor\), reducing SLA breach rate from 14% to 5% within 2 months \-Applied generative AI \(GPT\-4\) to real claims and clinical workflows for automation — appeal letter drafting and prior\-auth summarization — beyond traditional BI reporting\. \-Built end\-to\-end reporting and automation systems that combine dashboarding \(Power BI\) with LLM\-based workflow automation, tied to measurable KPIs \(reporting time, TAT, SLA compliance, appeal success rate

Senior AR Associate at Omega Healthcare Management Services, Aug 2021 \- Jun 2024 · 2 yrs 11 mos, Bengaluru, Karnataka, India, \-Designed and optimized complex SQL queries \(JOINs, CTEs, window functions, subqueries\) to extract, clean, and aggregate data from multiple relational data sources — reducing report generation time and eliminating manual spreadsheet consolidation\. \-Automated recurring reporting workflows using Excel VBA macros, SUMIFS/INDEX\-MATCH/XLOOKUP formula logic, and Power Query ETL pipelines, cutting weekly reporting turnaround from several hours to under 30 minutes\. \-Partnered with cross\-functional stakeholders \(Finance, Operations, Compliance\) to gather requirements and translate business questions into data models and interactive Power BI visualizations, improving decision\-making speed on billing and payment issues\. \-Conducted exploratory data analysis \(EDA\) on transaction\-level data to identify statistical outliers and anomalies, surfacing discrepancies that led to process fixes and reduced error rates by 10%\. \-Strong technical foundation across SQL, Excel/VBA automation, Power Query, and Power BI/DAX — spanning the full pipeline from raw data extraction to stakeholder\-facing visualization

Network Engineer at Mahalasa enterprises pvt ltd, Nov 2018 \- Apr 2021 · 2 yrs 6 mos, Bengaluru, Karnataka, India, \-Engineered and delivered end\-to\-end IP network solutions, including route\-based architecture design, configuration, and installation across enterprise WAN/LAN environments — ensuring seamless connectivity and minimal downtime during rollout\. \-Diagnosed and resolved complex network issues in multi\-vendor environments \(Juniper, Cisco\), including routing protocol conflicts \(BGP/OSPF\), interface failures, and latency issues — reducing mean time to resolution \(MTTR\) and improving network uptime\. \-Monitored network capacity, throughput, and performance metrics using \[tool names if applicable, e\.g\., SolarWinds, PRTG, Cisco DNA Center\], proactively identifying bottlenecks and implementing corrective actions to maintain SLA compliance\. \-Maintained meticulous documentation and configuration standards across network changes, demonstrating strong attention to detail that contributed to improved audit readiness and service\-level consistency

## Education

Bachelor of Computer Applications, Computer Science, IEC UNIVERSITY

PUC, PCMC, Narayana Institute

## Public links

- github: https://github\.com/SuhasH752

[View the original profile](https://tal.club/meet/suhas-h-vernekar)

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