Summary
Work History
Skills
Education
Projects
Overview
CustomerServiceRepresentative

Your Name

Akshatha N

Summary

Python/ Machine Learning
Data Science enthusiast with 7+ years of successful experience in ECommerce and Enterprise Search platform. Skilled and work-ready expertise in statistics, machine learning, computer vision, Natural language processing and python programming.

Work History

Search Lead Developer

Lenovo
Bangalore, Karnataka
12.2017 - Current

Lenovo Global Search Responsibilities:

  • Have proficient experience in using Search Tool Fusion 5.4 for Global Search Platform. Responsible in Analyzing Data , Parsing Data, Indexing the data using different Connectors like File Upload, Web Crawl and API connectors.
  • Created custom pipelines and stages for both index and query. Data manipulation and Troubleshooting the data. Responsible for tuning the Query Performance using Relevancy and Ranking.
  • Deep understanding of e-commerce search: customer-facing features, merchandising, master data management, metrics, and KPIs

Senior Product Developer

Informatics Publishing Ltd
Bangalore, Karnataka
08.2014 - 12.2017

J-Gate:

  • Developed search discovery tool for Educational domain from design conceptualization to client delivery and helped discovering articles looking by Scientist, PhD student etc.,.
  • Having quality experience in development activities, requirement analysis, and maintenance. Proficiency in Object Oriented Programming (OOP) principles, Databases & Technologies and worked as Full-Stack Developer for J2EE Application.

Skills

    Data Analysis tool : Sklearn, Pandas, NumPy, SciPy

Machine Learning :

Classification-LR, SVM, K-nearest neighbours, Naïve Bayes, DTree,RF

Regression - LR, SVM, K-means, Lasso/Ridge, KNN , Random Forest

Clustering techniques - K-measns, DBScan, Gaussian mixture model, Birch algorithm, Agglomerative hierarchy,Optics, Mean Shifting

Statistical Methods : Hypothesis Testing, Principal Component Analysis, Univariate and Bi-variate analysis

Visualization : Matplotlib, Seaborn, Tableau

Deep Learning : Neural Networks, Computer Vision (Image processing), Transfer Learning, TensorFlow, Keras

Programming/ Database Languages: Python, SQL Server, Java, DBMS

Tools & Technologies : Fusion Lucidworks, Kubernetes, SOLR(Search Engine), Splunk

Education

Post Graduate Programme - Artificial Intelligence & Machine Learning

Grate Lakes
Bengaluru, KA
07.2021 - 07.2022

Associate of Science - Master of Computer Applications

Sri Siddhartha Institute of Technology
Tumkur
05.2011 - 07.2014

Projects

  • Recommendation system - Build machine learning model that creates ranked list of products by user behavioral data such as purchase count / click count & Inventory data. Similar model implementation is used with different user data for various segments and site sections such as Home page , Zero Results Page and Auto complete window.
  • Build machine learning model that generates dynamic faceting that displays to the user a different set of facets based on User's intent query that populates different categories of Products with relevant facets.
  • Inactive products optimization: Tracking and Identifying Out of stock and inactive models. Processing and Ranking of products such as out of stock, discontinued, End of life products. Design and develop system with the capabilities of generating suggestions to out of stock models/SKUs
  • Developed the search functionality that supports cross segments and mobile app that generates results(Response Template) with segment and Business

Overview

8
8
years of professional experience
4
4
years of post-secondary education

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Akshatha N