Shivam Sharma
Technology Analyst
Panchkula,Haryana
Summary
ML enthusiast with 2.5 years of implementation experiences in machine learning and deep learning including regression, classification, neural network, natural language processing(NLP), etc and handling complex problems using transfer-learning techniques over various domains. Overall 4.5+ years programming experience with Python, SQL, PLSQL.
Overview
5
5
years of post-secondary education
5
5
years of professional experience
Work History
Technology Analyst
Infosys Limited
Bangalore , Karnataka
2018.04 - Current
- Built Sentiment Analysis Model using Google's BERT after fine-tuning it with requirement specific data : Paragraphs of Clinical Trials were passed through Model to classify whether given clinical trial was success or failure.
- Built Classification Model using Support Vector Machine(SVM) : Introduction Section of PubMed Manuscripts was passed through Model to classify it into various sub-sections such as Disease Burden, unmet needs, mechanism of action, epidemiology, Treatment guidelines etc.
- Created Scientific Writings(Manuscripts) using Facebook's BART after fine-tuning it with requirement specific data : Several articles for particular disease were fed section-wise into Model which then created Abstractive Summaries out of those articles fed into it.
- Played pivotal role in AI Scientific Writing Platform by developing Data Ingestion, NLP processing pipelines and ML modules.
- Digged deep into millions of data records and performed data exploratory analysis using interactive Jupyter notebooks using pandas/numpy and presented findings to manager.
- Applied various transfer-learning techniques using pre-trained word-embeddings like Glove, BERT, ELmo, Universal Sentence Encoder for text similarity tasks.
- Developed/Tested/Maintained internal text-processing libraries using NLTK and Spacy.
- Built Artificial Neural Network using TensorFlow in Python to identify customer's probability of canceling Broadband Connections(Churn rate prediction).
- Collaborated with data engineers and operation team to implement ETL process, wrote and optimized SQL queries to perform data extraction to fit analytical requirements.
Senior Systems Engineer - Oracle SQL Developer
Infosys Limited
Bangalore , Karnataka
2016.05 - 2018.05
- Worked on Order-to-Cash(O2C) Module and learnt different phases of Order Booking from receiving of Purchase Order(PO) till its delivery until the order lines for that particular order gets in closed status.
- Worked on Oracle Reports, Oracle Forms, Oracle Workflow, BI Publisher, Oracle Jdeveloper, Oracle EBS.
- Created Stored Procedures, Packages, Functions, Triggers, Tables, RDF Reports, RTF reports while working with several Clients.
- Did Forms Personalization on Sales Order and Quick Sales Order forms in Order Management Responsibility.
- Upgraded different type of reports including RDF, XML and RTF
Education
B.Tech - Electronics And Communications Engineering
Punjabi University
Patiala, Punjab 2012.08 - 2016.05
12th - Science (Non-Medical)
Government Model Senior Secondary School, 16-D
Chandigarh 2011.03 - 2012.03
10th -
Manav Mangal School
Panchkula, Haryana 2010.03 - 2010.03
Skills
End-to-End Machine Learning expertise
undefinedKaggle Projects
INTERESTING FACTS about Lok Sabha Election - 2019
https://www.kaggle.com/shivamsharma22/interesting-facts-about-lok-sabha-election-2019
Analyzed the Education Qualification of the Candidates, Number of Candidates with Criminal Background contesting the elections, Most Aged and Young candidates, Number of Female candidates elected, etc.
Netflix Bollywood Movies Analysis
https://www.kaggle.com/shivamsharma22/netflix-bollywood-movies-analysis
Separated out Bollywood movies on the basis of its rating into various categories - Family Movie, Child Movie, Adult Movie, Comedy Movie, etc. Categorized movies on the basis of Individual Actors and Actresses and much more stuff.
Individual IPL Team's Performance over the years
https://www.kaggle.com/shivamsharma22/individual-ipl-team-s-performance-over-the-years
Analyzed Individual IPL Team’s performance, their Good and Bad seasons, their Strong and Weak Opponents and much more.
Africa Crises - Complete Analysis(Accuracy-98.86%)
https://www.kaggle.com/shivamsharma22/africa-crises-complete-analysis-accuracy-98-86
Cleaned up the Data, Dealt with NaN values, Converted Categorical features to Numeric, removed the features which were highly correlated with each other, performed Exploratory Data Analysis and applied various Classifier Models. Gained the highest accuracy of 98.86% by using Random Forest Classifier.
Timeline
Technology Analyst
Infosys Limited
2018.04 - Current
Senior Systems Engineer - Oracle SQL Developer
Infosys Limited
2016.05 - 2018.05
B.Tech - Electronics And Communications Engineering
Punjabi University
2012.08 - 2016.05
12th - Science (Non-Medical)
Government Model Senior Secondary School, 16-D
2011.03 - 2012.03
10th -
Manav Mangal School
2010.03 - 2010.03