May 2024 – Aug 2024 · 3 mos · Gurugram, Haryana, India

• Built and deployed multiple ML and NLP models, owning feature engineering, evaluation, and deployment workflows.

Nov 2021 – May 2024 · 2 yrs 6 mos · Gurugram, Haryana, India

• Led the deployment of machine learning models on AWS, focusing on cost-effective solutions using ephemeral instances.
• Worked on various NLP and classification projects to extract meaningful insights from job records and descriptions.
• Analyzed the correlation between skills and compensation, providing valuable data for compensation strategy.
• Innovated in the field of big data processing, significantly reducing time spent on data handling.
• Developed processes for extracting and cleaning data, resulting in substantial cost savings and improved accuracy.
• Created advanced chatbots for document summarization, enhancing information retrieval and summarization capabilities.
• Evaluated and championed GenAI and data science use cases, driving practice-wide innovation.

Aug 2021 – Nov 2021 · 3 mos · India

• Client:- UK based pharma major
• Led the deployment of 5 machine learning models on AWS with a scalable architecture, improving data analysis efficiency for a major pharmaceutical client.
• Designed and implemented a network architecture automating various downstream and upstream processes, resulting in a significant reduction in daily workload.
• Collaborated closely with cross-functional teams to ensure smooth integration of machine learning models into existing systems, optimizing overall productivity and performance.
• Maintained detailed documentation of the machine learning workflow and architecture, enabling easy understanding and knowledge transfer among team members.
• Communicated effectively with stakeholders, translating complex machine learning concepts into clear and concise language to ensure alignment with business goals.

Dec 2020 – Aug 2021 · 8 mos

• Increased data traceability by more than 200% by finding and adding metadata to documents using openCV, OCR, Regex and SQL while maintaining data integrity and standardization.
• Automated multiple processes and workflows reducing processing time by 75%
• Received awards for extraordinary commitment, going beyond deliverables, customer centricity and quality orientation

Jun 2019 – Dec 2020 · 1 yr 6 mos

• Consultant to the one of the multinational oil & gas company helping them to be a
• leader in Industry in terms of digital transformation
• Helping client to digitize their legacy data using state of art technologies to unlock full
• potential of data and reduce data silos and redundant data
• Working on Technical data(involving technical tags and their associated data) and its
• transformation to enable data transfer from legacy system maintaining data integrity
• and standardization.
• Passed Digital Chrysalis (Wipro IP) configuration course (1 out of 6 people in India)

Jan 2020 – Oct 2021 · 1 yr 9 mos · Bengaluru, Karnataka, India

• Mannki is an end-to-end mental health platform with the aim to improve mental wellbeing by supplementing current screening, diagnosis, and treatment with objective biomarkers. This is achieved by building research-led smartphone applications collaborating with more than 50 Psychiatrists and 20 research centers.
• Designed and deployed MLops pipelines enabling retraining of models and decreasing model training time by 60%
• Deployed models using AWS sagemaker with CI/CD pipelines with monitoring and retraining enabled and mitigated data drift and concept drift problems
• Build Classification models (SVM, xgBoost , Random forest, and Logistic regression) on 6 public datasets for digital phenotyping with AUC > 0.85 for validation of the idea and improved lead conversion of our clinician outreach program by 150%
• Increased user retention by 120% through deploying models in production for 4 biomarkers (device usage, social activity, physical activity, sleep) with accuracy > 0.9
• Automated data pipeline using AWS S3, AWS Sagemaker, Glue, AWS EMR, and lambda for increased engagement with clinicians
• Reduced data preprocessing time by 4 hours by calculating more than 300 features on smartphone sensor data using PySpark
• Improved data visibility to clinicians by building daily Google Data Studio reporting pipeline (patient dashboard)

Jun 2018 – Aug 2018 · 2 mos · Mumbai, Maharashtra, India

• PSL: Baroid (Drilling Fluids)
• Reduced project cost by 5% by suggesting novel methods in bid submission program (drilling fluid program) for HPHT wells
• Performed testing of water base drilling fluids and developed performance plots
• Studied safety compliance and developed mitigation plans to avoid unforeseen events and reported 5 hazards using HOC cards

May 2017 – Jun 2017 · 1 mo · Gandhi Nagar, Gujarat, India

• This training involved understanding safety procedures and precautions followed during wireline operations. I developed basic understanding of wireline operations like logging, perforation, fishing etc.
• I was involved in base and logging truck preventive maintenance and troubleshooting, Physical Verification(PV) of central store.
• Also, I was involved in logging jobs on INDRORA#3, OGNAJ#3, OGNAJ#1 and cable splicing job.