I'm Ammar. Raised in Delhi, India; I'm now a CSE Undergrad trying to dive deep into the ocean of data. With experience of 6 Years of Python Scripting, I've been involved in the field for almost 3 years, learning and evolving myself into a Data Scientist.
I have been driven by my intellectual curiosity to find answers to the most pressing questions. And I'm currently looking to work with an amazingly smart community of people who are devoted to giving out-of-the-box solutions, with our unconventional imagination & creativity, to the problems faced by other incredibly bright groups of people so that folks can do more interesting things much faster.
Nov 2020 - Present HII Broking Services Pvt. Ltd. | Technology Lead
* Working with the team on development of 3 major projects of the company.
* Responsible for creation and maintenance of database of the company
* Working on web app for rating of various insurance policies based on various factors
* Working on marketplace for various path lab tests
* Handling all IT related workflow processes in the company
Jan 2020 - Jul 2020 ZIGRAM | Data Science Intern
* Worked in development of 2 major projects of the company in sales and finance domain
* Development and maintenance of dashboards related to sales domain
* Scrapping of data which including scrapping specific data from various unstructured sites in a single run
* Automation of processes for various tasks
* Development of recommendation system and prioritisation system and respective APIs and their deployment
* Created multiple metric & summary scripts for various processes/tasks
2020 B.Tech. - Computer Science & Engineering | ADGITM (GGSIPU)
2016 Class XII - Computer Science | Air Force Bal Bharati School
2014 Class X | Air Force Bal Bharati School
Jun 2019 Applied Data Science Module: Unit I - Scientific Computing and Python for Data Science | WorldQuant University (The Data Incubator)
Sep 2019 Applied Data Science Module: Unit II - Machine Learning and Statistical Analysis | WorldQuant University (The Data Incubator)
Sep 2019 Google Cloud OnBoard: Big Data and Machine Learning | Google Cloud Team
Oct 2019 Ranked in top 3% in the DrivenData Competition
* Ranked in top 100 out of total 3,905 participants in the DrivenData Competition for prediction of Heart Diseases.
Sep 2019 Honors in Applied Data Science Module: Unit II
* Special Distinction from WorldQuant University, in partnership with The Data Incubator, for outstanding records, scoring constantly above the 99th percentile.
Jun 2019 Honors in Applied Data Science Module: Unit I
* Special Distinction from WorldQuant University, in partnership with The Data Incubator, for outstanding records, scoring constantly above the 99th percentile.
InProgress Diabetic Retinopathy Detection
* Scan retinal images of eyes and looks for signs of diabetic retinopathy and returns its severeness
Jan 2021 Bitcoin Price Analysis & Prediction
* Developed a prediction model for predicting Bitcoin Price using available historical data. The objective was to study more in the regression model and time-series
* Tools: JupyterLab, Python 3.6, Pandas, Numpy, Sci-kit learn, Seaborn
Dec 2019 Voice-Controlled Virtual Robot Simulation Prototype
* Built a Virtual Robot controlled by voice commands to simulate in real-life environment.
* Generalizing it for usage with other pre-created bots for inter-disciplinary usage.
* Lead a group of 4 people to complete this project within a stipulated time.
* Tools: Unreal Engine, C++
Dec 2019 TravelAdvisor.in Data Scrapping Tool
* Built a dynamic website scrapping tool for TripAdvisor.in to scrap desired details of restaurant & its reviews.
* Also performed sentiment analysis on the reviews.
* Tools: JupyterLab, Python 3.6, BeautifulSoup, Selenium, lxml, NLTK, Pandas, Numpy
Dec 2019 Heart Disease Detection
* Performed analysis on the dataset to draw insights.
* Successfully developed & deployed a model to predict the probability of heart disease in a person with high accuracy.
* Made a website and integrate it with the model to complete the working project.
* Also, performed analysis on the dataset to draw insights.
* Tools: JupyterLab, VS Code, Python 3.6, NumPy, Pandas, Sci-kit Learn, HTML, CSS, JavaScript
Oct 2019 Santander Bank Customer Satisfaction Data Analysis
* Worked on hundreds of anonymized features containing a large number of numeric variables for analysis.
* Tools: JupyterLab, Python 3.6, Pandas, Numpy, Seaborn
Jun 2019 NHS Citizen Medication Analysis
* Performed Statistical Analysis on the Prescription Medicines and found the anomalies and patterns in prescription of medicines by practitioners.
* Tools: JupyterLab, Python 3.6, NumPy, Pandas
Jun 2019 ASOIF Novel Data Analysis and Predictions
* Performed analysis of battles and deaths in the timespan of the novel.
* Predicted the future of characters(lifespan) over the course in this fantasy universe.
* Tools: JupyterLab, Python 3.6, NumPy, Pandas