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Last update: 03.10.2023

Technology Analyst, Data Analyst, Python Developer, SQL developer

Graduation: Masters in Data science and computational intelligence
Hourly-/Daily rates: show
Languages: English (Full Professional) | Hindi (Limited professional)

Skills

Having 7+ years of experience in IT industry. Involved in code implementations, deployments, testing, performing exploratory analysis, data engineering, data cleaning, predictive analysis, data visualizations, algorithms, models and reports. Focus on tabular data, text data, NLP, hugging face transformers, image processing, recommender systems.

Familiarity with tools include RStudio, Anaconda - Jupyter, Visual Studio, SQL Server, Oracle, SAS Studio, Tableau, Rest API, SSMS

Languages and Frameworks:
Python (numpy, pandas, scikit-learn, matplotlib, seaborn, tensorflow, statsmodels, keras, beautiful soup) Django
R programming language
SQL
Excel
SAS
Machine learning
deep learning /Artificial Neural Networks
Big Data : Apache Hadoop, Spark, Pig, Hive, PySpark
Inverted index, TF-IDF, Matching score ranking, cosine similarity
GitHub, Git, Docker, Jenkins, Jira, CI/CD pipelines
AWS, Azure
Agile, Waterfall Methodologies

Project history

09/2021 - 09/2021
Intern
Skillsize

Assisted the implementation and deployment of systems used for natural language input and
processing (NLP), data collection, machine learning model training, and deployment of machine
learning models.
* CV Content analysis: The project aim is to build an algorithm which identifies the job titles
along with the corresponding years of experience, company names with years of experience
* Data Collection: Gathered CV without multiple layouts as well as different file formats such
as .doc, .docx and .pdf.
* Text mining and cleaning: As the data is semi-structured, applied NLP which reads the text
from any type of semi or unstructured file and generates a structured JSON file. Identified and
removed the unusual, redundant texts by natural language processing (NLP).
* Model training: NER model with BERT is a powerful NLP model has trained to identify the
labels such as job_titles, company_names, dates and other along with following the IOB format.
* Results and performance improvement: Evaluations done using statistical techniques and
improved the model's performance by utilizing the python tools.

09/2019 - 02/2020
Technology Analyst
Infosys

Client: RBS, Banking Sector
* Data analysis: I resolved data issues by performing root cause analysis using SQL / Python.
* I was involved in modifying the code according to the client requirements and deployed in
production.
* I worked on Autosys, Prechecks, Postchecks, Bounce and Connectors check, WAS upgrade, DB
backup.
* Worked on design and development of Unix shell scripting as a part of the ETL process to
automate the process of loading.
* Worked on ETL tasks like pulling, pushing data from and too various servers.
* Implemented python and batch scripts to automate the ETL scripts runs every hour.
* Worked on CSV files while trying to get input from the SQL database.

08/2016 - 08/2019
Application Developer
IBM

Client 1: BMW, Automobile Sector
* Data analysis and data engineering according to the business requirements using Python/SQL.
* Data visualizations using matplotlib, seaborn generated to present to the project and
client-side managers.
* I Implemented the functions using PLSQL procedures, packages and cursors.
* Automated script in Linux and Unix platforms for error handling using shell script and I
received appreciation from the client-side manager for automating the daily manual tasks.
* Managed, developed a tool for customers and administrators using DJANGO, SQL and VMWARE
calls.
* Accessing the websites and fetch data for selected options using Beautiful Soup of python.
* Installation, configuration, integration, tuning, backup, crash recovery, upgrades, patching,
monitoring system performance in Linux/Unix servers.

Local Availability

Open to travel worldwide
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