Sunil Kumar Email & Phone Number

Hyderabad, In

Pune, Maharashtra, India

MediText Insight Engine: Developed a Bio Clinical BERT model integrated with a Conditional Random Field (CRF) layer for Named Entity Recognition, achieving F1 scores between 0.864 and 0.938. Engineered a multi-head classification model, yielding 99.9% accuracy in predicting contextual relevance and boosting operational productivity by 15%, generating over $2 million in annual revenue.QA-Driven Clinical Code Extraction Suite: Formulated a question-answer transformer model that improved… Show more MediText Insight Engine: Developed a Bio Clinical BERT model integrated with a Conditional Random Field (CRF) layer for Named Entity Recognition, achieving F1 scores between 0.864 and 0.938. Engineered a multi-head classification model, yielding 99.9% accuracy in predicting contextual relevance and boosting operational productivity by 15%, generating over $2 million in annual revenue.QA-Driven Clinical Code Extraction Suite: Formulated a question-answer transformer model that improved data accuracy by 18% to 98% in capturing complex medical regimens. This led to a 25% reduction in claim processing time and generated over $1.5 million in annual revenue for health insurance companies.Clinical Note Intelligence (CNI): Spearheaded a summarization platform using state-of-the-art LLMs, achieving notable improvements in ROUGE and BLEU scores. Show less

Pune, Maharashtra, India

AI-Powered Clinical Data Mapping Solution- Developed a machine learning model to map non-standard clinical data, reducing manual mapping efforts. Achieved 81.2% accuracy with an ensemble of Random Forest & LightGBM model - Utilized BERT, Cosine Similarity and TF-IDF for feature extraction, enhancing model accuracy by 6.7% to 81.2%. Evaluated with micro-averaged precision, recall, F1-score & macro-averaged metrics- Engineered a multi-label medical entity classifier using LSTM & GRU… Show more AI-Powered Clinical Data Mapping Solution- Developed a machine learning model to map non-standard clinical data, reducing manual mapping efforts. Achieved 81.2% accuracy with an ensemble of Random Forest & LightGBM model - Utilized BERT, Cosine Similarity and TF-IDF for feature extraction, enhancing model accuracy by 6.7% to 81.2%. Evaluated with micro-averaged precision, recall, F1-score & macro-averaged metrics- Engineered a multi-label medical entity classifier using LSTM & GRU, achieving 99.5% precision, Validated with Jaccard similarity and confusion matrix, ensuring robust clinical data mapping.- Delivered one-time savings of $1 million and recurring annual savings of $200,000 by automating the mapping of non-standard clinical files.Legacy Data Migration & Cloud Transformation- Led legacy project migration to Snowflake for data reading and AWS S3 for writing, optimizing data accessibility.- Transformed SQL jobs to leverage Snowflake's efficiency, surpassing Spark SQL performance.- Ensured uninterrupted data processing in a hybrid cloud setup, merging Snowflake, AWS S3, and Hadoop capabilities.HL7 Data Parsing and Quality Assurance- Orchestrated seamless transformation of diverse healthcare data from CSV to HL7 format, creating standardized schemas for clinical data entities.- Achieved 10x parsing speed enhancement (400 HL7 messages/min) by optimizing data structures.- Executed stringent data quality checks to ensure high-quality data transmission to downstream processes. Show less

Pune, Maharashtra, India

- Spearheaded data engineering and processing within a complex healthcare dataset, implementing robust feature engineering techniques to transform and cleanse intricate patient data.- Conducted in-depth analysis of diverse coding systems (diagnosis code, procedure code), devising and applying tailored regular expressions. Successfully resolved data inconsistencies and improved data quality by deciphering and standardizing disparate coding patterns.- Executed comprehensive data profiling… Show more - Spearheaded data engineering and processing within a complex healthcare dataset, implementing robust feature engineering techniques to transform and cleanse intricate patient data.- Conducted in-depth analysis of diverse coding systems (diagnosis code, procedure code), devising and applying tailored regular expressions. Successfully resolved data inconsistencies and improved data quality by deciphering and standardizing disparate coding patterns.- Executed comprehensive data profiling to identify and rectify anomalies, enhancing the dataset's reliability and usability for subsequent analysis and modeling purposes. Show less

Chennai, Tamil Nadu, India

File Monitoring Scheduler- Orchestrated the development of a file monitoring scheduler, conducting regular checks on specified file extensions at 30-minute intervals. Implemented fail notifications to a configurable user list, ensuring timely awareness and action.Video Player Enhancement- Elevated the functionality of the video player by integrating features for a drone-captured video clip. Leveraged Python's PyQt5 library to create a dynamic view showcasing real-time drone… Show more File Monitoring Scheduler- Orchestrated the development of a file monitoring scheduler, conducting regular checks on specified file extensions at 30-minute intervals. Implemented fail notifications to a configurable user list, ensuring timely awareness and action.Video Player Enhancement- Elevated the functionality of the video player by integrating features for a drone-captured video clip. Leveraged Python's PyQt5 library to create a dynamic view showcasing real-time drone height and direction data. Enhanced video snapshots to include essential details: drone's flying height, company branding, and a directional compass reflecting the drone's movement.- Applied data from a provided CSV file containing drone flight specifics (height, direction, timestamps) to enrich the video player's snapshot capabilities, augmenting user experience and adding valuable contextual information.- Collaborated with a multidisciplinary team to seamlessly integrate enhancements into the existing video player framework, demonstrating proficiency in both software development and UI/UX design. Show less

Jaipur, Rajasthan, India

- Leveraged data analysis techniques to optimize sales strategies within a specialized restaurant and hotel service provider.- Developed and implemented recommendation algorithms, including apriori algorithm, market basket analysis models.- Utilized order and menu data to drive insights into user preferences, enhancing the app's food recommendation system.- Collaborated cross-functionally to integrate algorithmic solutions, resulting in a measurable increase in sales and customer… Show more - Leveraged data analysis techniques to optimize sales strategies within a specialized restaurant and hotel service provider.- Developed and implemented recommendation algorithms, including apriori algorithm, market basket analysis models.- Utilized order and menu data to drive insights into user preferences, enhancing the app's food recommendation system.- Collaborated cross-functionally to integrate algorithmic solutions, resulting in a measurable increase in sales and customer engagement. Show less

Chennai Area, India