Tarachand Yadav
Bengaluru
Summary
Accomplished Data Scientist with extensive expertise in AI/ML, NLP, and computer vision, delivering innovative solutions across engineering, healthcare, retail, and finance sectors. Recognized for driving efficiency through statistical modeling and leadership. Proficient in Python and R, consistently tackling complex challenges to enhance revenue while optimizing costs. Committed to advancing technology integration to elevate consumer experiences and satisfaction.
Overview
14
14
years of professional experience
Work History
Data Scientist
Harman Connected Services
Bangalore
02.2017 - Current
- Deployed Gen AI solution (Mistral 7B Instruct) for extracting patient details, diagnoses, and treatment from extensive medical texts.
- Created prompts to retrieve pragmatic EREFS scores, location, and condition severity from findings and lab test sections utilizing AWS Sagemaker and Jumpstart.
- Utilized advanced machine learning algorithms for real-time flagging of potential HCPs in AML relapsed condition.
- Performed cluster analysis of DMAs for digital ad campaigns targeting pharmaceutical companies.
- Developed Monte Carlo Simulation for assessing franchise payouts tied to new product sales performance.
- Created and deployed Autoencoder and GAN models for synthetic data generation.
- Developed a machine-learning model to predict the likelihood of this disease given the patient's disease history (Dx, Rx, Px).
- Created and deployed machine-learning algorithms for phone settings, call prediction, app recommendation, and missed call management based on user usage patterns.
- Implemented features for searching and adding points of interest using NLP, text mining, Python search engine, and machine learning.
Data Scientist
Manthan Systems
Bengaluru
04.2016 - 02.2017
- Refined complex statistical models using cutting-edge techniques for improved e-commerce problem-solving.
- Constructed uplift models identifying influenceable customers to boost ROI and engagement.
- Implemented machine learning algorithms like Uplift Random Forest and Logistic Regression to identify persuadable but not natural buyers.
Sr. Business Analyst
TCS
Bengaluru
06.2011 - 01.2016
- Crafted demo models' solutions and proof of concepts. Gathered insights analyzing extensive structured and unstructured data from various social media platforms, chat history, customer feedback, and comments using NLP techniques.
- Applied Naive Bayes, LDA, and additional machine learning algorithms to analyze trends, sentiments, trending topics on raw texts from Twitter, Facebook, and YouTube.
- Developed and implemented regression models to predict anticipated store sales. Developed ARIMA models to forecast product category volumes. Utilized k-means clustering for store and customer segmentation.
Education
Certification - Digital Health and Imaging - AI/ML
IISc
Bangalore01.2024
Master of Science - Statistics
Andhra University
Vizag01.2011
Skills
- Python and R
- AI and machine learning
- ANNCNNLSTMResNet
- Statistical modeling
- RegressionClassification analysis
- Time series analysis
- Cluster analysisPCASVD
- Simulation techniques
- AWSJumpstartBedrockSagemaker
- NLPRAGPrompt Engineering
- PyTorchTensorFlowKeras
- Friendly, positive attitude
- Team and Project management
- SQLOracle
- Data mining
- Computer visionImage Analysis
Hobbies
TrekkingReading BooksBike Ride
Publications
Applying Machine Learning Algorithms to Predict Endometriosis Onset, 12/16/21, https://www.intechopen.com/chapters/79689
Timeline
Data Scientist
Harman Connected Services
02.2017 - Current
Data Scientist
Manthan Systems
04.2016 - 02.2017
Sr. Business Analyst
TCS
06.2011 - 01.2016
Certification - Digital Health and Imaging - AI/ML
IISc
Master of Science - Statistics
Andhra University
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