ANGAM SRI KAVYA

Data Science

https://www.opentalent.in/angam-sri-kavya

Data Science with less than a year in Python & Machine Learning

Key Strengths

Strong foundational knowledge in Python and Machine Learning concepts, as evidenced by project work and certifications.
Experience with various machine learning algorithms (Decision Tree, Logistic Regression, Gaussian NB) applied in a fraud detection project.
Demonstrated ability to work with data-driven technologies and feature extraction techniques.
Exposure to blockchain technology and smart contracts, indicating a diverse technical interest.
Certifications in Data Mining and Data Science using Python from NPTEL, showing commitment to learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a diverse set of interests, including data science, mobile development, and blockchain. This breadth of exposure, coupled with self-identified soft skills like teamwork and being a quick learner, suggests a good cultural fit for dynamic and innovative environments. The academic project on an 'E-Justice System' shows an interest in impactful applications of technology. However, the experience level is entry-level, which might require more mentorship.

Soft Skills & Operational Fit

The candidate identifies as a hard worker, quick learner, team player, and passionate towards work. These traits suggest a positive attitude and potential for growth within a team-oriented environment. The project descriptions indicate an ability to manage tasks and contribute to project goals, which aligns with operational fit.

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Education

Potti Sriramulu Chalavadi Mallikharjuna Rao College Of Engineering and Technology

B.Tech Computer Science Engineering And Data Science · Computer Science Engineering And Data Science

August 1, 2022 – June 30, 2026

Future Focus Mahila Junior College

MPC

August 1, 2020 – June 30, 2022

Viswabharathi EM High School

SSC

June 1, 2019 – May 31, 2020

Projects

A short-term internship project on Flutter

May 1, 2025 – June 1, 2025

Technologies Used: Flutter, Dart, Firebase. Built a mobile application to manage attendance, assignments, exams, and schedules. Implemented real-time data synchronization using Firebase. Designed user-friendly interfaces for students and faculty interaction.

E-Justice System – Blockchain-Powered Legal Platform | Major Final Year Project

January 1, 2025 – January 1, 2026

Technologies: HTML, CSS, JavaScript, Solidity (Smart Contracts), Blockchain (Ethereum/Hardhat), Firebase. Built a decentralized e-Justice platform with role-based dashboards for Citizens, Police, Courts, and Correctional Facilities covering FIR filing, case tracking, hearing scheduling, and verdict issuance. Deployed a Solidity smart contract with role-based access control (Judge, Lawyer, Clerk, Citizen) ensuring tamper-proof and transparent legal record management on Ethereum blockchain. Integrated real-time notifications and multi-stakeholder workflows, reducing manual processes and improving judicial efficiency.

A short term internship project on credit card Fraud detection

May 1, 2024 – July 1, 2024

Technologies Used: Python , Decision Tree classifier,Logistic Regression, Gaussian NB. Extracted key features from real time monitoring, using advanced feature extraction techniques(Cuckoo Search Algorithm). Achieved 95% accuracy in detecting fraud detection from credit card fraud detection dataset.

Certifications

Certification on NPTEL Data Mining using python

NPTEL

June 1, 2026 – Present

Certification on NPTEL Data Science using python

NPTEL

June 1, 2026 – Present

Certification of Internship on flutter from Datavalley operations

Datavalley operations

June 1, 2026 – Present

Certification of internship on ML from Talent shine, organized by Aaron Technologies

Aaron Technologies

June 1, 2026 – Present

Certification on 2-week online placement preparation Training from Internshala

Internshala

June 1, 2026 – Present

Completion certification of Python programming from Code Tantra

Code Tantra

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Python and Machine Learning concepts, as evidenced by project work and certifications.
Experience with various machine learning algorithms (Decision Tree, Logistic Regression, Gaussian NB) applied in a fraud detection project.
Demonstrated ability to work with data-driven technologies and feature extraction techniques.
Exposure to blockchain technology and smart contracts, indicating a diverse technical interest.
Certifications in Data Mining and Data Science using Python from NPTEL, showing commitment to learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

ANGAM SRI KAVYA

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit