Data Engineer with 2+ years in ETL, BI, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer and Data Analyst with 2+ year of experience designing scalable ETL pipelines, building BI dashboards, and developing machine learning forecasting models. Proficient in Python, SQL, Tableau, Power BI, and cloud-based data warehousing. Proven record of achieving 99.9% data accuracy through validation pipelines and improving forecasting accuracy by 15% using ARIMA, SARIMA, Prophet, and XGBoost. Strong foundation in data structures, algorithms, analytics, and business intelligence reporting.
Delhi Technological University
Bachelor of Technology · Computer Engineering
August 1, 2020 – June 30, 2024
Tanaashi Technologies Pvt. Ltd.
Junior Associate Data Engineer
February 1, 2025 – Present
Delhi, Delhi, India
Applofy Technologies
Data Analytics
May 1, 2024 – January 1, 2025
India
Live Data Dashboard – Cosmo & Neelgagan
January 1, 2024 – December 31, 2024
Designed and deployed real-time Tableau dashboards tracking Sales, Purchase, Financial, and Costing KPIs for enterprise clients. Implemented SQL validation pipelines to ensure consistent data quality, enabling real-time stakeholder decision-making.
Amazon Sales Data Analysis
January 1, 2024 – December 31, 2024
Analyzed 5 years of Amazon sales data to uncover trends in customer behavior, demographics, and revenue growth. Built interactive Power BI reports with advanced DAX functions to track sales trends and product performance.
Time Series Forecasting on Live Data
January 1, 2024 – December 31, 2024
Performed time series analysis on 8 years of monthly business data using statistical and ML models. Achieved 94% prediction accuracy with ensemble forecasting, delivering actionable insights that improved business planning.
Certificate Course
Coursera
June 1, 2026 – Present
Certificate Document
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering sales analysis, live data dashboards, and time series forecasting, indicates adaptability and a broad interest in data applications. The roles held align well with the target Data Engineer position, showing a clear career path in data. The breadth of skills, including both analytical and engineering aspects, suggests a versatile team member. However, the experience level is relatively junior for a senior role, which might impact cultural fit in a highly experienced team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (e.g., improving prediction accuracy, ensuring data quality) and a results-oriented approach. Automation of data workflows suggests efficiency and operational awareness. The experience in designing dashboards for various KPIs indicates an understanding of business needs and stakeholder communication.