Aashutosh Litoriya

Data Analyst

New Delhi, India 4+ yrs exp 88 · Excellent

About

Data Analyst turned clean-energy problem solver. 3+ years experience in data & predictive analytics and AI-powered solutions. Now pivoting into renewable energy, driven to deploy data intelligence where it matters most. On a mission to make clean energy smarter, more efficient, and future-ready.

Skills & Expertise (13)

Data Analytics Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Data Visualization Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

Matplotlib Intermediate

6.0/10

Years Exp

Machine Learning Intermediate

5.5/10

Years Exp

Predictive Modeling Intermediate

5.5/10

Years Exp

PowerBI Intermediate

5.5/10

Years Exp

scikit-learn Intermediate

5.5/10

Years Exp

Seaborn Intermediate

5.5/10

Years Exp

Time-Series Analysis Intermediate

5.0/10

Years Exp

Work Experience

Data Analyst

Network Edge Services Pvt Ltd

Sep 2023 - Present

Performed comprehensive data analytic to uncover actionable trends and patterns, empowering clients for data-driven decisions. Automated data preparation, validation, and reporting workflows using Python (Pandas, NumPy), reducing manual effort by 25% and improving operational efficiency. Conducted analysis of data centre operations, analyzed operations, analyzed relationships between server workload, cooling power and temperature metrics to identify operational drivers. Identified ticket reassignment frequency as a key driver of SLA breaches through incident analytics, enabling data-backed recommendations for process and routing improvements. Analyzed cloud infrastructure billing and utilization data to identify cost optimization opportunities, resource inefficiencies, and key cost drivers. Collaborated with cross-functional stakeholders to define business requirements, establish KPIs, and deliver analytical solutions aligned with organizational objectives.

Software Engineer

KPIT

Oct 2021 - Jul 2023

Executed extensively with HIL and SIL testing environments to validate and verify control algorithms for automotive systems. Collected, processed, and analyzed datasets generated from HIL and SIL systems to identify patterns, trends, and potential issues in system performance. Visualized complex data to enhance understanding and aid in decision-making. Coordinated with engineering, testing, and software development teams to integrate analytics solutions into the HIL and SIL processes, enhancing data-driven decision-making in system validation.