Shreyash
Gurugram, Gurgaon Division, Haryana, India
Experience: 5 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: BigQuery, Git, LLMs/ChatGPT, Looker, Matplotlib, MSSQL, MySQL, NumPy, pandas, PostgreSQL, Problem Solving, Python, Python3, scikit-learn, T-SQL, Tableau, TensorFlow
Previously worked at: IT Service Companies, Startups, US-based Companies
Assessment Score: 75
- Professional Background: Currently a Senior Data Analyst at ContinuumGlobal in Gurugram, India, where the candidate has been focusing on analyzing large datasets and deploying machine learning models to drive business insights. They have demonstrated strong capabilities in conducting in-depth analyses, optimization of ML models, and user journey mapping to enhance campaign effectiveness.
- Technical Skills: Proficient in SQL, Python, Tableau, and Google Looker Studio for data visualization, as well as machine learning algorithms and statistical techniques. Experienced in data cleaning, pre-processing, feature engineering, and deploying advanced algorithms (e.g., Polynomial Regression, Decision Tree Regressor) for improving prediction accuracies.
- Experience in Data Analytics: Successfully conducted several high-impact projects including the India Local Guide audience analysis for Google, identifying key drivers of low engagement; designing and deploying machine learning models for homepage promos; and conducting performance reporting optimizations using ML techniques. These projects resulted in improved click rates, revenue, and operational efficiency.
- Previous Roles: Formerly a Sales Analyst at CRISIL Limited, an S&P Global Company, where they helped identify prospects in the USA and managed CRM databases. They also played a key role in driving geographical expansion for HackerEarth, generating leads and forging deals in the North American market.
- Projects and Case Studies: Led numerous projects with companies like Target Retail Corporation, Netflix, and Delhivery to uncover actionable insights using SQL, Python, and other data analysis tools. Achieved significant results in increasing sales, recommending content for Netflix, and improving delivery efficiencies for Delhivery.
- Awards and Recognition: Awarded the CRISIL GR&A Execution Excellence Award and the Clap Award from the GR&A team. Additionally, recognized as a top-performing data analyst and business case study contributor at various organizations.
- Education: Holds a B.Tech degree from SRM Institute of Science and Technology with a specialization in Data Science & Machine Learning from Scaler Academy. The candidate has also been a Subject Matter Expert for Probability & Statistics at Chegg and has actively contributed to community services and rural educational campaigns.