• Banking Insurance Prediction, Fintech platform api latency prediction , Product Recommendations

• Backend Setup Prepared using AWS Components for Adjuster Product

• GraphQL setup was prepared

• Collected data points from various amazon api (asin info,oxylabs,asinator)

• Architected overall process of this project

• Text Classification has been done for amazon titles, brand, manufactures, breadcrumb, productgroup,

  category, description, feature

• NLP Pre-processing has done for amazon texts

• Various machine learning algorithms were analyzed and implemented

• Similar titles were grouped using elastic search

• Google translation, matecate translation api were analyzed and implemented

• NLP Preprocessing, Classification, Grouping

• Vector Space Model, Dimension reductions(Tf-Idf, LSI), Text similarity algorithms implemented

• Worked on Semantic text similarity Word2Vec, FastText, GloveVec, Doc2Vec, WordNet

• Wored on Character based similarity – Fuzzywuzzy, Jaro, Jaro-Winkler, Levenshtein, Damerau–

  Levenshtein, Sorensen, Ngram

• Worked on term-based similarity – Cosine similarity, Jaccard Similarty

• Model built, created index from corpus, queried to collected similar amazon products from model instantly

Prepared System monitoring controller scripts using linux commands, AWS automatic resource allocation scripts, AWS effective resource selection scripts, Log rotate to clean up, AWS customized bill generator, Automatic Code sync between repositories

• Collect data points from various retailer websites

• Handled various REST operations and recovered data from there

• Applied multiple way of regular expressions to collect data points

• Collect data points from various commodity websites

• Handled various REST operations and recovered data from there

• Applied multiple way of regular expressions to collect data points

• Product utilized AWS resources listed out and developed dashboard for that

• Staging, Product environment creation for product

• Various utility tasks were done for the project

• Android App was developed with small utility

• Prepared System monitoring controller scripts using linux commands

• AWS automatic resource allocation (Auto attach, detach, mount, unmount, etc.) scripts

• AWS effective resource selection (Best region to keep codes, best instance for better performance, etc.)

• Log rotate to clean up

• AWS customized bill generator was developed

• Automatic Code sync between 4 regions repositories (Github) and get notification of that with updated

  code percentage

Product utilized AWS resources listed out and developed dashboard, Staging, Product environment creation, Various utility tasks, Android App development

Infrastructure Automation to establish product environment