Data with 1+ years in AI/ML & Data Analytics
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Highly motivated and results-oriented professional with 1.1 years of experience in data analysis and AI/ML engineering. Proficient in Python, SQL, Power BI, and various cloud platforms. Successfully developed and deployed AI solutions, optimized data workflows, and created impactful dashboards to drive data-driven decision-making and improve operational efficiency. Seeking to leverage analytical and technical skills in a challenging data science or AI engineering role.
KIET Group Of Institutions
Bachelor of Technology · Electronics and Communication Engineering
January 1, 2020 – January 1, 2024
Siemens
Intern(GET Program)
December 1, 2024 – December 1, 2025
Gurgaon, Haryana, India
AI Sales Intelligence Agent
January 1, 2026 – Present
• Built a no-code AI sales research agent to automate company and prospect research, reducing manual research time by 70%. • Generated customized pre-call briefing reports with structured insights, achieving ~90% accuracy in test evaluations. • Improved sales call preparation efficiency and contributed to a 25% increase in qualified lead engagement through data-driven insights.
View ProjectCall Centre Trend Analysis (Power BI Dashboard)
January 1, 2026 – Present
• Analyzed 500K+ call records to identify call volume patterns, agent performance metrics, and operational bottlenecks. • Automated dashboards and reports using Power BI, reducing manual analysis effort by 50%. • Delivered insights that supported 20% reduction in average call waiting time and improved service efficiency.
View ProjectCarbon Emission Calculator using SQL
January 1, 2026 – Present
• Designed a SQL-based carbon emission tracking system handling 100K+ records, improving data accessibility by 60%. • Optimized complex SQL queries, reducing data retrieval time by 40%. • Automated reporting workflows to enable real-time monitoring, cutting manual effort by 50%.
View ProjectOCI Generative AI
Oracle
January 1, 2025 – Present
Gen AI Exchange Program
January 1, 2025 – Present
AWS Data Analytics
AWS
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a strong interest in applying data and AI to solve real-world problems, aligning well with an innovative and results-oriented culture. The diversity of projects (AI agent, call center analysis, carbon emission tracking) shows a broad curiosity and willingness to tackle different challenges. The certifications indicate a commitment to continuous learning, which is a positive cultural fit for growth-oriented organizations. However, the lack of professional experience beyond an internship means there's limited insight into their collaborative style in a corporate technical environment.
Soft Skills & Operational Fit
The candidate's internship at Siemens involved coordinating with cross-functional teams and ensuring on-time project delivery, suggesting good organizational and teamwork skills. The project descriptions highlight problem-solving and efficiency improvement, which are valuable operational traits. However, the internship role was more operational/logistical than technical, limiting direct evidence of technical soft skills in a professional setting.