Skills
SQL
DML, DDL, Joins, Subqueries, Aggregate Functions, Database DesignPython
Pandas, NumPy, Matplotlib, Seaborn, Good understanding of Object Oriented ProgrammingAI/ML
Scikit-Learn, PyTorch, Tensorflow, PySpark, Keras, Probability, StatisticsInformation Vizualization Tools
Excel, Tableau, Power BI, OrangeVersion control
GitOther Skills
Linux, Presentation, Problem solving, Analytical thinking, Teamwork and communicationEducation
Masters in Applied Information Technology with concentration in Data Analytics and Intelligence MethodsInformation Representation, Processing, and Vizualization
AIT 664- DIKW: Data, Information, Knowledge, and Wisdom
- Data Analysis: Ask, prepare, process, analyse, share, and act
- Machine Learning concepts, Vizualization tools like Tableau, Orange
Database Management System
AIT 524- Databse Design and ER diagrams
- Database Normalization
- SQL DDL, DML, Joining Data, Single Row and Group Functions
- Subqueries, Database objects and Views
- Introduction to Research
CS 580
Artificial Intelligence- Problem Solving as Search
- Logic and Ontologies
- Resolution and Prolog
- ML/DL Basics
- Evidence based Reasoning
AIT 636
Interpretable Machine Learning- Bayesian classifier, Linear/Non-linear classifier
- Accuracy metrics, Hyperparameters, Evaluation methods
- Feature selction, Feature generation
- Clustering algorithms, Evaluating clusters
AIT 736
Applied Machine Learning- Learning and Probability Theory, Linear Algebra
- Supervised and Unsupervised Learning
- Decision Tree Learning, Bias and Variance Trade-Offs
- Logistic Regression, SVM, Kernal SVM, Ensemble Classifiers
- Generative Adversarial Networks
- PCA, Reinforcement Learning, Markov Models, Deep Learning
Big Data Essentials
AIT 614- Big Data analytics, NoSQL Databases
- Databricks (Microsoft Azure, AWS, Google Cloud)
- Databricks SQL to query data and visualize queries in dashboard
- Python for statistical analysis
- Hadoop, HDFS, MapReduce Programming Paradigm
- Spark, PySpark
AIT 512
Algorithms and Data Structures Essentials- Bags, Queues, Stacks, Linked List
- Elementary Sorts, Merge Sort, Quick Sort
- Binary Search Trees, Balanced Searched Trees
- Directed, Undirected Graphs, Minimum Spanning Trees
- Analysis of Algorithms
AIT 724
Data Analytics in Social Media- Structured representation of unstructured data
- Analze technical concepts of communitiy detection, recommendation, and behavior analysis in social media
- Apply computational methods from Data mining, NLP, and related areas to discover patterns in text and network data in social media
Projects
Facial Expression Detection Using Deep Learning Techniques
Implemented CNN, VGGNet, ResNet, and FaceNet models capable of real-time facial expression classification
Netflix Data Analysis
Analyzed Netflix data to dive deep into steps involved in data analysis process.
Understanding Spatial-temporal and demographic factors associated with crime in New York
Analyzed New York city crime dataset to gain insights useful to control crimes in NY.
Social Media Data Analysis
Performed sentiment analysis and inter-annotator agreement evaluation on dataset fetched from Twitter (now X).
Experience
Graduate Research Assistant
George Mason University-
Implemented a 5G testbed comprising three Software Defined Radios (SDR) based 5G Base Stations (gNBs) and 1 User Equipment (UE) for positioning based on downlink positioning reference signal (PRS) using open source 4G/5G stack software written in C/C++ langauage called Open Air Interface.
-
Implemented automation pipeline using python to collect downlink data from 3 gNBs at UE, enabling the collection of massive amounts of data over-the-air opening the door for AI-enabled positioning with real positioning prototype in future.
-
Designed and constructed a comprehensive 5G end‑to‑end Open‑RAN testbed using open‑source cellular software, specifically srsRAN and SDRs. Additionally, I implemented a near‑real‑time RAN intelligent controller (Near‑RT-RIC) on a docker environment, enabling the efficient deployment of xApps for real‑time control and monitoring of the 5G gNBs. The testbed is used to deploy AI-based xApps in several use cases to optimize RANs.
Software Engineer
Bitsbit Pvt. Ltd.-
Architected and implemented key features for multiple large-scale web applications using React.js and Node.js, serving 100K+ monthly active users.
-
Led and mentored a team of 3 software engineering interns, focusing on React.js best practices and modern web development workflows.
Honors and Publication
Publication
Experimental Validation of a 3GPP Compliant 5G‑Based Positioning System.
Certification
Machine Learning by Andrew Ng
Stanford