Ankur Sharma

B.Tech Electronics and Communication Engineering Student

Ghaziabad, Uttar Pradesh, IndiaElectronics and Communication Engineering, VLSI, and Data Analysis
1roles
23skills
3education

About

Electronics and Communication Engineering student with hands-on experience in Verilog HDL, RTL design, digital logic design, CMOS VLSI, FPGA implementation, and Python-based data analysis.

Experience

Digital VLSI Design using Verilog HDL with FPGA Implementation Trainee/Intern

8-week training and internship

Designed and simulated digital circuits using Verilog HDL; implemented and tested Verilog designs on FPGA hardware; worked with combinational and sequential digital circuits and RTL design concepts.

Education

Ajay Kumar Garg Engineering College

B.Tech, Electronics and Communication Engineering

2023 - 2027

CGPA: 8.63/10

Chinmaya Vidyalaya, Unchahar

Senior Secondary (Class XII)

2022

Percentage: 94.2

Chinmaya Vidyalaya, Unchahar

High School (Class X)

2020

Percentage: 81.2

Skills

Verilog HDLRTL DesignDigital Logic DesignCMOS VLSIFPGA ImplementationPythonJavaC++PandasNumPyExploratory Data AnalysisHTML5CSS3JavaScriptMySQLCadenceModelSimXilinx ISEJupyter NotebookVS CodeFlaskGitGitHub

Projects

16-bit Single-Cycle RISC Processor

Designed and implemented a 16-bit single-cycle RISC processor using Verilog HDL, including the ALU, registers, control logic, and datapath. Applied RTL design concepts and simulated and verified functionality using ModelSim.

Sign Calculator

Designed and implemented a digital sign calculator using Verilog HDL, synthesized and implemented it on FPGA hardware, and verified its functionality. Gained experience in RTL design, FPGA implementation, synthesis, and hardware verification.

Customer Churn Analysis

Performed exploratory data analysis to identify customer behavior patterns and factors associated with churn. Cleaned, transformed, and analyzed customer data using Python libraries, developed an end-to-end analysis and model evaluation workflow, and deployed it as a Flask-based interactive prediction application.