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Priyang Tripathi

@priyangtripathi

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Senior Machine Learning Engineer with expertise in data-driven solutions.

India

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What I'm looking for

I am looking for a role that challenges me and allows for continuous learning, ideally in a collaborative environment focused on innovative machine learning applications.

I am a Senior Machine Learning Engineer with a strong background in developing innovative data-driven solutions. Currently, I am fabricating an automated ML lifecycle package at Mechademy Incorporated, where I have successfully integrated exploratory data analysis, modeling, and logging for efficient data workflows. My work has significantly reduced training times by 70% through the use of parallel computing techniques with Ray and Dask.

Previously, as a Senior Data Scientist at Zype, I devised algorithms that improved loan adjudication processes and developed a fraud detection system that reduced underwriting costs by 20%. My experience spans various domains, including NLP, automated pipelines, and predictive modeling, where I have consistently achieved high accuracy rates in my projects. I am passionate about leveraging machine learning to drive business value and enhance user experiences.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Mechademy Incorporated

Nov 2023 - Present (2 years 7 months)

Fabricated an automated ML lifecycle package, integrating EDA, modeling, and logging for data workflows. Used Ray and Dask for parallel computing, reducing training time by 70% and optimizing memory usage.

ML Lifecycle AutoML Ray Dask XGBoost LightGBM Dagster Docker

Senior Data Scientist

Zype

Jun 2022 - Oct 2023 (1 year 4 months)

Devised a salary detection algorithm to adjudge loan amount and due date, resulting in lower delinquency. Developed a phone number and employment authentication system, reducing underwriting costs by up to 20%.

Salary Detection Fraud Detection Authentication Lenet 5 Data Analysis Risk Mitigation

Data Science Associate

ZS Associates

Aug 2020 - Jun 2022 (1 year 10 months)

Developed a pipeline leveraging NLP models to extract key-value pairs from Rate Loading documents, achieving 75% overall automation with 95% accuracy. Designed an AI framework for automated RFP responses, achieving 96% precision and 60% recall.

NLP Framework Topic modeling TF IDF SHAP Rule Fit Analysis Forecasting

Data Science

Mystifly

May 2019 - Jul 2019 (2 months)

Developed a model with over 95% accuracy to optimize the Hit Rate, directly impacting the cost incurred. Used XGBoost and Random Forest for price shock predictions and deployed a RESTful API.

Hit Rates XGBoost Random Forest Price Prediction RESTful APIs Optimization Hit Rate

Data Science

Bosch

May 2018 - Jul 2018 (2 months)

Designed a Data Distillation Pipeline to preprocess raw data using NLTK, SpaCy, and FastText. Hosted a Flask server with HTML to display results from the Data Distillation Model.

NLTK SpaCy FastText Flask HTML

Education

Degrees, certifications, and relevant coursework

G.N. National Public School

Class XII, General Studies

Grade: 78%

Completed Class XII under the CBSE curriculum. Achieved a percentage of 78% in the final examinations.

Indian Institute of Technology, Kharagpur

Integrated M.Sc., Exploration Geophysics

Grade: 7.75/10

Activities and societies: Governor, Student Welfare Group; Captain, Case Study Team

Completed an Integrated Master of Science in Exploration Geophysics. Focused on a curriculum that combined scientific principles with practical applications in the field.