Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Minal Pathi

Bangalore

Summary

Dedicated professional with a proactive approach and quick learning ability. Demonstrates strong work ethic and effective communication skills. Committed to contributing to team success and achieving organizational objectives.

Overview

9
9
years of professional experience

Work History

SDE-2

Epsilon
11.2023 - Current
  • Worked on Profile generation of customers based on seasons and Market Trends.
  • Worked on various Big data components such as Kafka, HBase, Hive, Hadoop, etc. to productionalise processing jobs and Kafka streaming jobs.
  • Worked on reducing processing time for various processing jobs by 70 percent.
  • Single-Handedly worked on integrating Apache-Atlas to the existing ecosystem

Data Scientist-2

Argoid Analytics (now Amagi)
06.2020 - 11.2023
  • Worked on core Recommendation Engine for a UCG platform by developing contextual and personalized recommender systems for Shopify e-commerce clients and generated product recommendations that improved user engagement by 24% and a 15% increase in overall sales.
  • Implemented a session based recommender system for a clothing store, achieving a 15% increase in average order value for fashion products.
  • Collaborated with marketing and sales teams to analyze customer behavior data, leading to the creation of targeted email campaigns leading to a 12x ROI for repeat visitors, and a 11% revenue uplift.
  • Improved Click-Through Rate of users from 3.2% to 6.65% on an OTT clients’ website through optimizing deployed models and setting up monitoring tools in production.
  • Contributed in developing AutoML platform (prototype) for Recommendation system.
  • Utilized advanced querying, visualization and analytics tools such as Redash to analyze complex data sets and also for monitoring the performance.
  • Involved in data engineering processes and pipelines for generating feature stores utilized in recommendation systems in Scala and Airflow

Intern

Sentienz Solutions
04.2019 - 04.2020
  • Deduce statistical inferences on the data to understand its nature.
  • Develop Processing jobs in pySpark or Scala for feature engineering on the given data.
  • Schedule and run jobs to feed the output to the model for training.
  • Build and hypertune appropriate models on the processed data.
  • Develop AutoML platform (prototype) for Recommendation systems.

Associate Software Engineer

Huawei Technologies
08.2016 - 09.2017
  • Handled Telecom related projects such as Mediation and Billing.

Education

Other - Big Data and Data Analytics

Manipal School of Information Sciences
Manipal, Karnataka
01.2020

BE/B.Tech/Bs -

VTU
01.2016

Skills

Languages : Python, Scala, SQL, PostgreSQL, PySpark, Java (Core)

Machine learning algorithms: Classification and clustering algorithms, Regression techniques, SVM, PCA, Time-Series

● Deep Neural Networks: Forward and Backward Propagation, Optmizers, Autoencoders, LIME

Natural Language Processing: Basics, Word2Vec, Language Modelling, RNN, NER, Topic Modelling, Attention, Transformers

Statistics: Hypothesis Testing, Interval estimation, Linear Regression, Logistic Regression

Big Data : Hive, ETL flows (StreamSets), pySpark, Scala, Kafka, AWS, ElasticSearch

Tensorflow (NTPEL certification from IIT Madras)

Deployment Frameworks: Airflow, Flask

Analytical tool : Redash for Dashboard creation and visualization, Matplotlib

Others : Grafana, Bitbucket, JIRA, Docker and Kubernetes (Basics)

Accomplishments

  • Star Performer Award - Argoid Analytics
  • Recognized for coming up with new strategies and methods for personalized recommendations
  • Finalist in Hackathon - Epsilon

Timeline

SDE-2

Epsilon
11.2023 - Current

Data Scientist-2

Argoid Analytics (now Amagi)
06.2020 - 11.2023

Intern

Sentienz Solutions
04.2019 - 04.2020

Associate Software Engineer

Huawei Technologies
08.2016 - 09.2017

Other - Big Data and Data Analytics

Manipal School of Information Sciences

BE/B.Tech/Bs -

VTU
Minal Pathi