ARYA SHAH

Computer Engineer
Computer Engineer

About Me

Dedicated third-year student with a strong background in data analysis and machine learning, eager to apply my knowledge to real-world challenges. Passionate about transforming data into actionable insights and contributing to innovative projects in a dynamic environment. Seeking opportunities to grow and make a meaningful impact through data-driven solutions.



  • Name ARYA SHAH
  • Gender Male
  • Date of birth 06/02/2005
  • Phone +91 6355117870
  • Email [email protected]
  • Marital Status Single
  • Address C-40 Sugam Park Society, Kamla Nagar, Ajwa Road, Vadodara
  • Nationality India

Resume

Experience

March 2024 - Till Date
Data Analyst

Shakti Infotech

Proficient In Managing And Optimizing Data Workflows To Drive Actionable Insights
:-Ensuring Data Efficiency, Security, And Accessibility To Support Business Operations.
:-Collaborating With Cross-functional Teams To Deploy Scalable Data Solutions.
:-Monitoring Data Systems' Performance And Troubleshooting To Maintain Reliability.
:-Enhancing Database Queries To Improve Data Processing Speed And Scalability.
:-Automating Data Workflows And Processes In Cloud-based Environments.
I’m Passionate About Leveraging Data-driven Decision-making And Am Eager To Contribute To Impactful Projects In Analytics.

Education

- June 2020
Smt. D. R. Rana

First School Leaving Certificate (FSLC)

Surat, Gujarat.

- June 2022
L.P.Savani

Senior Secondary School Certificate (SSCE)

Surat, Gujarat.

June 2022 - Till Date
Sardar Vallabhbhai Patel Institute Of Technology

Bachelor Of Engineering

Vasad, Gujarat.

Professional Skills

Python

Pandas

Numpy

Matplotlib

TensorFlow

Data Cleaning

Data Analysis

Deep Learning

DSA

Neural Networks

Language Skills

English

Hindi

Gujarati

Hobbies

  • Chess
  • Sudoku
  • Piano

Certificates

Machine Learning By Simplylearn

July 2022

Supervised Machine Learning: Regression And Classification

August 2024

Deep Learning By Andrew Ng

September 2024

Other Info.


Accomplishments

  • Attained 5th rank within the Shah community in chess competitions.
  • Secured second place in the Masters App GTU Techfest, October 2022, for developing a innovative sleeping detection system with real-time speaker notification

Additional Information

  • Scored 97.07 percentile in CUET UG.
  • Actively contributed to the Training and Placement Cell, facilitating campus recruitment and student career development initiatives.

Projects

Fraud Transaction Detection : Developed a machine learning model to detect fraudulent transactions, enhancing financial security by identifying anomalies and reducing fraud risks. The project improved transaction monitoring efficiency and accuracy.

Sorting Algorithm using C++ : Developed and optimized quicksort, merge sort, and other sorting methods in C++ to efficiently organize data. 


Reference

Available on Request

Contact

[email protected]

+91 6355117870

C-40 Sugam Park Society, Kamla Nagar, Ajwa Road, Vadodara, Vadodara, Gujarat.

How Can I Help You?