Hello, I'm Tushar g.
A motivated Data Science and Analyst Fresher looking to leverage my strong programming skills in Python analytical aptitude and knowledge of data visualizations to effectively analyze, interpret, and present insights from large datasets in an accurate and meaningful way. Seeking to collaborate with a leading data science and Analytics team to develop innovative models to detect patterns, Finding Business solutions and trends for complex data-driven solutions
Details
- Number of Years Experience0-5 years
- Education LevelMasters
Current/ Latest Job title
Data Analyst
Current Employer / Company
Mondaylabs.ai
Industry
Data Analytics | Business Intelligence | Technology | Financial Services | Healthcare | SaaS
Country that I am located in
Remote (Based in India, available to work with global teams across multiple time zones)
Specific Countries That I am Qualified In or Can Cover/ Global
Primarily supported analytics and operations for clients based in the US, Canada, UK, and APAC regions. Comfortable working across international regulations and business contexts.
Skills
Technical Skills - Excel/Google Sheets – Advanced formulas, pivot tables, VLOOKUP/XLOOKUP, data cleaning SQL – Data extraction, joins, aggregations, subqueries, CTEs, window functions Python – Libraries like Pandas, NumPy, Matplotlib, Seaborn for data manipulation and visualization Power BI / Tableau / Looker – Building dashboards, creating reports, DAX (for Power BI), storytelling with data Statistics & Probability – Hypothesis testing, regression, A/B testing, distributions R (optional but useful) – For statistical analysis and data modeling Data Cleaning & Wrangling – Handling missing data, outliers, formatting inconsistencies Tools & Technologies - Google Analytics / Mixpanel / Amplitude – Web and product analytics tools Excel Add-ons – Power Query, Power Pivot Cloud Platforms – Google BigQuery, AWS Redshift, Azure Synapse (for large-scale data) Version Control – Git & GitHub (basic understanding for collaborating on scripts) Jupyter Notebooks / VS Code / Spyder – Common environments for Python analysis APIs – Calling REST APIs for pulling data (basic experience) Soft Skills - Problem Solving – Framing business questions as data problems Communication – Explaining insights clearly to both tech and non-tech teams Attention to Detail – Ensuring data accuracy and thorough validation Storytelling – Turning numbers into narratives with actionable recommendations Critical Thinking – Challenging assumptions, validating results Business & Domain Skills - Understanding of KPIs, funnel analysis, customer behavior Domain knowledge in finance, marketing, operations, or whichever sector the company is in Experience in AB testing, cohort analysis, retention & churn metrics
Areas of Interest
Data Analyst, Business Analyst, Financial Analyst, Product Analyst