MANIDEEP SIDDAMALLA
Hyderabad
Summary
Data Analyst with hands-on experience in SQL and data analysis, proficient in query writing, data manipulation, and pattern matching to derive actionable insights. Seeking to apply analytical and database skills to contribute effectively in a data-related role and support data-driven decision-making.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Graduate Software Engineer Trainee
BFSI Consortium
07.2025 - 01.2026
- Gained hands-on exposure to BFSI operations, financial instruments, KYC/AML compliance, and banking workflows through an industry-focused training program.
- Completed intensive training program bridging software engineering with specific demands of BFSI industry through Young India Skill University.
- Completed coursework at IIIT Hyderabad
Data Analyst Intern
AI Variant
Hyderabad
12.2024 - 06.2025
- Conducted deep dive analysis, delivering narrative with actionable insights and recommendations to stakeholders.
- Analyzed financial and crowdfunding datasets using Excel, SQL, Power BI, and Tableau to extract KPIs and designed interactive dashboards for visualizing insights and tracking performance.
- Analyzed data trends using statistical tools to support project decisions.
- Collaborated with team members to gather and validate data sources.
- Created visual reports and dashboards to present findings clearly.
Education
Bachelor of Technology - CSE (Data Science)
VNR Vignana Jyothi Institute of Engineering and Technology
01-2024
Intermediate -
Narayana Junior College
Hyderabad01-2020
SSC -
Sri Chaitanya High School
01-2018
Skills
- SQL
- Python
- Machine Learning
- Data visualization
- Power BI
- Tableau
- Advance excel
Certification
- BFSI (Banking, Financial Services and Insurance) Certification, BFSI Consortium, IIIT Hyderabad
- Data Analysis with Python, IBM via Coursera
- Data Analyst, Excelr Solutions
- Data Science and Machine Learning, Udemy
- Certified Smart Coder, smart interviews.in
Projects
- Banking Loan Analysis, Analyzed DBS Bank transactional and loan datasets using Excel, SQL, Power BI, and Tableau. Extracted key KPIs including loan disbursement patterns, and customer behavior insights. Built interactive dashboards to visualize financial metrics and support data-driven decision-making.
- Crowdfunding Analysis, Analyzed Kickstarter data using Excel, Tableau, Power BI, and SQL to derive key KPIs including total and average backer count, and revealed top and bottom-performing categories. Built interactive dashboards to visualize trends and support data-driven funding decisions.
- Disease prediction from various symptoms using Machine Learning, Predicting diseases from symptoms using machine learning involves building a model that can analyses the relationship between symptoms and diseases to make accurate predictions. To achieve this, we have used decision tree and KNN algorithm.
Hobbies and Interests
- Data Analysis & AI
- Tech Newsletters
- Podcasts
- Chess
Timeline
Graduate Software Engineer Trainee
BFSI Consortium
07.2025 - 01.2026
Data Analyst Intern
AI Variant
12.2024 - 06.2025
Bachelor of Technology - CSE (Data Science)
VNR Vignana Jyothi Institute of Engineering and Technology
Intermediate -
Narayana Junior College
SSC -
Sri Chaitanya High School