AI Engineer with less than a year in Data Analytics & Machine Learning
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Developing dynamic Power BI dashboards and integrating diverse data sources to enhance business metric visibility. Proficient in SQL, Python, and cloud computing, applying analytical skills to optimize data management and improve operational efficiency. Passionate about utilizing technical expertise to drive informed decision-making and innovative data-driven strategies.
Indian Institute of Technology, Bhilai
e-Masters · Data Science and Data Analytics
August 1, 2024 – June 30, 2024
Vishwakarma Institute of Technology, Pune
B.Tech · Computer Engineering
August 1, 2019 – June 30, 2023
Magic Software Enterprise
Trainee
August 1, 2022 – December 1, 2022
Pune, Maharashtra, India
Ybi Foundation
Intern
July 1, 2022 – August 1, 2022
India
Bitcoin Price Prediction Using LSTM
June 17, 2026 – Present
• Developed a deep learning model to forecast Bitcoin prices with enhanced accuracy using LSTM networks. • Focused on improving prediction efficiency with time-series data.
Bank Management System
June 17, 2026 – Present
• Designed and implemented a bank management system using C programming. • Simulated real-world banking transactions and financial operations.
Bitcoin Price Prediction
International Journal for Research in Applied Science and Engineering Technology
June 1, 2026 – Present
Power BI for Beginner by Simplilearn
Simplilearn
June 1, 2026 – Present
Accounting Fundamentals
Corporate Finance Institute
June 1, 2026 – Present
Associate Data Engineer in Snowflake
Snowflake
June 1, 2026 – Present
Business Development with AI
International Research Journal of Engineering and Technology
June 1, 2026 – Present
Chartered CFA Investment Foundation
Unknown
June 1, 2026 – Present
Cybersecurity Essentials
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Data Science and Computer Engineering, coupled with projects like Bitcoin Price Prediction using LSTM, aligns well with an AI Engineer role. The certifications in Snowflake and Power BI show a breadth of interest in data-related tools. However, the professional experience is limited to trainee and intern roles, and the projects are academic, which might indicate a need for more exposure to industry-standard practices and collaborative environments typical of a senior role. The diversity of projects (LSTM, Bank Management System) and certifications (CFA, Cybersecurity) suggests a broad intellectual curiosity, which can be a positive cultural fit for dynamic teams.
Soft Skills & Operational Fit
The candidate's profile highlights a passion for utilizing technical expertise to drive informed decision-making and innovative data-driven strategies, suggesting a proactive and results-oriented approach. The academic projects and internships indicate an ability to work on defined tasks and integrate frameworks. However, the limited professional experience (trainee, intern) means there is insufficient data to fully assess advanced soft skills like leadership, complex problem-solving in ambiguous situations, or cross-functional collaboration at a senior level.