Application support

JANMEJAY SINGH

E Mail: *************@*****.***

Phone: +91-787*******

LinkedIn ID: www.linkedin.com/in/janmejay-pratap-singh

Expertise in Machine Learning & Advanced Statistical Algorithms to deliver actionable insights & solutions to complex business problems, targeting assignments in Data Science, Deep Learning and Machine Learning with an organization of high repute, preferably in Bengaluru

Knowledge Purview

Data Sciences

Business Intelligence

Machine Learning & AI

Natural Language Processing

Deep Learning (Keras, TensorFlow)

Data Analysis

Data Structure & Algorithms

Computer Vision

Technical Project Leadership

Profile Summary

Offering nearly 1 year of experience in the field of Technical application support in IT industry

Gained the exposure of Python Development & Data Sciences, along with the functional efficiency in Data Analytics, Machine Learning, Deep Learning during the internship with Nikhil Analytics, Bengaluru

Possesses excellent knowledge of various Machine Learning Statistical Models and Algorithms like Decision Tress, Random Forest, Ensemble techniques like bagging, pasting and Gradient Boosting, Support Vector Machine (SVM), Logistic Regression, PCA, K-Means, Linear Regression and so on

Skilled in various Natural Learning Processing (NLP) Methods like text pre-processing, Sentiment Analysis, Word Embedding (GloVe and Word2vec) and Transfer Learning, Sequence to Sequence Modelling (language translation), Image Captioning and so on

Proficiency in Computer vision and familiar with VGG, Resnet, Inception, MobileNet and various other popular models

Basic experience of Big Data using Apache Spark along with the efficiency in Microsoft SQL server and basic Shell scripting

Efficient in high-level, general-purpose programming language like Python(OOPS and Rest API) and its numerous libraries used for data science like Numpy, Scipy, Pandas, NLTK, pickle, re, urllib, matplotlib & so on

Organisational Experience

Since Jul’18 State Street Corporation, Bengaluru as Application Support Executive

Key Result Areas:

Rendering L2/L3 level incident management support to address issues reported from the clients while adhering to the SLAs; liaising with the stakeholders for the resolution of critical incidents

Monitoring the health of the application and troubleshooting the issues on production environment

Liaising with the Subject Matter Experts (SMEs) and initiating IT Bridge Calls to resolve the high severity issues that impact multiple interfaces

Creating the reports regarding the escalation tickets and sharing the same with actionable insight with various stakeholders & upper management

Administering, scheduling, monitoring, and reporting automated jobs using AutoSys

Evaluating the scope of automation of the manual jobs being done and writing shell scripts for the automation of the jobs in UNIX environment like Running DVT, Un-Deployment, Corba Timeouts and so on

Assessing the business requirements and writing optimum SQL queries based on the requirement gathered

Interfacing with multiple departments for release management and the change management in production environment

Incorporating the new business requirements in the existing shell scripts by mapping the necessary modifications

Managing the complete log files and log information of the applications

Projects:

Deep Learning/NLP:

(https://github.com/Janmejay50010/NLP)

Machine Translation from Spanish to English

Image Captioning using Transfer Learning

N-gram CNN Model for Sentiment Analysis of Movie Reviews

CNN+ Embedding Model for Sentiment Analysis

Comparing Different Word Scoring Methods in Sentiment Analysis

Deep Learning/Computer Vision:

(https://github.com/Janmejay50010/Computer-Vision)

Dog vs. Cat Classification using CNN Model Visualization using Tensorboard and Model Optimization

Image Captioning using Transfer Learning

Machine Learning:

(https://github.com/Janmejay50010/Projects-in-Machine-Learning/tree/master/Machine Learning)

Credit Card Fraud Detection using Isolation Forest & Outlier Factor

Movie Recommendation System

Image Compression using PCA

Spam Classification using SVM

Board Game Review Prediction

Image Compression using K-Means

IT Skills

Python (OOPS and Rest API)

TensorFlow, Keras, TensorBoard

Deep Learning :- NLP and Computer Vision

Basic Shell Scripting

Database :- Microsoft SQL Server

Apache Spark

VBA Macros

Computer Science: Algorithms, Data Structures, Networking, C

Office Automation Tools: MS Excel (Advance Excel Techniques & DM), MS Word, MS PowerPoint

Academic Details

2018: Bachelor of Technology in Mechanical Engineering from SRM University, Chennai, affiliated to Anna University

Professional Qualification

2018: Data Science & Modelling Power Pack from Nikhil Analytics, Bangalore, entailing:

Python for Machine Learning and Deep Learning

Advance Excel Techniques & Data Management

VBA Macros Programming

SQL For Analyst

Certifications

https://github.com/Janmejay50010/Certificates

Mathematics for Machine Learning from Coursera in 2018

Machine Learning by Andrew NG from Coursera in 2018

Deep Learning by deeplearning.ai from Coursera in 2018

Personal Details

Date of Birth: 29th March 1996

Languages Known: English and Hindi

Permanent Address: Near Carmelaram Post Office, Sarjapura - 560035, Bengaluru, Karnataka

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