Experience

Quanterian

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer Intern

  • May 2022 - Present

  • Design and built apps for clients using React.js along with creating assets and logos for the product • Improved skills in core languages such as JavaScript, Node.js and React.js for web development • Collaborate with a few research teams to establish and validate statistical models • Performed data scraping to retrieve and select desired information about entities of interest from various origins, types, and structures by using SQL and Python • Collected unstructured data from MongoDB and completed data aggregation; built Statistical models using Logistic Regression, Regression Trees for classifying each customer as a default or a non-default. Show less



University of Maryland

• United States
• Higher Education
• 700 & Above Employee

• Data Scientist

  • May 2020 - Jan 2022

  • Conducted research on the applications of hatchet that analyzes performance data and bottlenecks • Developed and committed code for the library that improvised the graph representation of the outputs derived • Contributed coding solutions to make the library more user-friendly • Implementing readers that can read profile data from GPU profilers and by implementing high-level functions to analyze the performance • GPU data analysis using Hatchet which required building, running, and profiling GPU applications such as AMGX and LULESH • Oversees 10 buildings and 250 students in the Leonardtown housing community on behalf of The Dept of Resident Life • Responsible for maintaining a constructive social and academic environment in residence halls, hosting and attending regular meetings with staff and students, and organizing recreational events for the community • University projects was based on predicting diabetes which was accomplished with the help of Exploratory Data Analysis and Visualizations • Designed using Python and techniques such as data scraping, data cleaning, processing, and Machine Learning Algorithms • Designed and implemented a simulation of the Unix filesystem and commands in the C programming language • Created dynamically allocated data structure to store components of the simulated system which includes the function implementation of common commands • Using OCaml, built a parser that would convert a SmallC program into an Abstract Syntax Tree • Implemented an interpreter that evaluates the parsed output. Show less



ARABIAN CONTROL SYSTEMS CO. LTD

• Software Engineer

  • Mar 2020 - Aug 2020

  • Organized and redesigned company's website for greater ease of use and accessibility to information • Designed an integrated database system for gathering candidate applications and CVs with Wix tools • Implemented an interface to process contact information requests and messages from customers in HTML • Designed, built and deployed a set of python modelling APIs for customer analytics, which integrate multiple machine learning techniques for various user behavior predictions and support multiple marketing segmentation programs. • Worked on missing value, outlier detection with statistical methodologies using Pandas, NumPy. • Participated in features engineering such as feature creating and feature scaling; worked on data pre-processing and cleaned he data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python. • Visualize the data using Matplotlib like bar chart, heat map, and histogram. • Implemented machine learning model like logistic regression, SVM with Python Scikit-learn. • Documented monthly reports containing tables, charts, diagrams, and dashboards generated by using Tableau and presented to the management team. Environment: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, SciPy, Scikit-learn, NLTK, Advanced Excel, Tableau, MS Office Suite Show less