Anurag Sharma
Contact: -
E-mail --
S K I L LS
Hard Skills - Data Analysis, Mathematics, Statistics, Data Visualization, Programming, Machine learning,
Probability, Modeling, Data Structures & Algorithms, DevOps
Soft Skills - Communication, Collaboration, Critical thinking, Problem-solving
Tools - Python, Microsoft Azure Services, Azure CosmosDB, Azure DevOps, Azure Blob Storage, Keras,
sklearn, NumPy/Pandas, Matplotlib, Tableau, Seaborn, Plotly, SQL, SQLite, MongoDB, Google Firebase,
C/C++, Java, HTML/CSS, JavaScript, Node.js, Flask, Android, Google APIs, AJAX, XML, JSON, Testing
Frameworks including JUnit, Version Control System (Git)
WO R K E X P ERIEN C E
Analytic Edge (Data Scientist [July 2019-Present])
• Developed web based dashboard for a client.
• Technologies Used - Python, Numpy/Pandas Jinja2, HTML/CSS, JS, Flask
• Developed web based reporting tool using Azure Cosmos DB as database to store and retrieve data.
• Technologies Used - Python, Flask, HTML/CSS, JS, Azure Cosmos DB
• Developed a micro-services based reporting tool. Used Azure authentication using Active Directory, used
Microsoft SQL Server for DB and Redis for Cache & Message Queue. I deployed the app in Docker.
• Technologies Used - Python, Flask, HTML/CSS, JS, Azure Auth, Redis, MS SQL Server, Docker
• Developed an end to end modelling tool. Used CosmosDB and Azure Blob Storage for Data Storage, Redis
for Cache & Message Queue, and Azure Function Apps with triggers.
• Technologies Used - Python, Flask, HTML/CSS, JS, Azure Blob Storage, Azure Function Apps, Azure
App Insights, Redis
Analytic Edge (Internship [June-July 2018])
• Built a web application for price pack architecture.
• Technologies Used - Python, Numpy/Pandas, StatsModels Jinja2, HTML/CSS, JS, Flask, Plotly Dash,
MongoDB
O P EN S O U R C E C ON TR I BU TI ON
• Participated in DigitalOcean’s HacktoberFest 2016 & 2017 and contributed to several open source projects
including node.js, ember.js, exercism, freecodecamp, awesome-json-datasets.
• Participated in BOSS 2017 (Bountiful Open Source Summer) organized by Coding blocks. Contributed to
several projects during three months period.
ACH IE V E M E NT S
• Winner of TargetHR AI Hackathon 2018
• Winner of Edelweiss Machine learning Hackathon
O N LI N E P R O FI L ES
• GitHub - https://github.com/anu0012
• Kaggle - http://kaggle.com/anu0012/
ED UCATI O N
ABV Indian Institute of Information Technology & Management, Gwalior
Integrated B.Tech-M.Tech degree in Information Technology (July 2014 - May 2019)