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

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India
Bengaluru, Karnataka, India







Bachelor of Computer Applications, Computer Science
IEC UNIVERSITY

PUC, PCMC
Narayana Institute
Join Suhas and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossData Scientist | Machine Learning Engineer | Generative AI | NLP | Deep Learning | Python | SQL | XGBoost | PyTorch | LangChain | RAG | Computer Vision
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.
Greater Bengaluru Area
claude code
codex
cursor
glama
langgraph
huggingface
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
Bachelor of Computer Applications, Computer Science, IEC UNIVERSITY
PUC, PCMC, Narayana Institute
github: https://github.com/SuhasH752