Lead Data Scientist

Summary

I am an experienced data scientist with over 5 years of experience in marketing and advertising analytics, customer insights, and sales. I have a strong background in statistical analysis, machine learning techniques, data visualization, and data mining and have worked for life sciences clients and helped them in enabling data driven decisions leveraging tools like Python, SQL, R, Tableau, MS Office and ML techniques in fast-paced environments. Currently a Master's student at Carlson School of Management, University of Minnesota, studying Business Analytics. Passionate about using data to make a positive impact on people's lives and the world around us.

Languages and Tools: SQL, R, Python, PySpark (Databricks), Snowflake, Spark ML, Hive, Hadoop, Tableau, Power BI, Jira
Techniques: Advanced Statistics, A/B Testing, Causal Inference and Experimentation, Supervised and Unsupervised Machine Learning Techniques, Dimensionality Reduction, Hyperparameter Tuning, Neural Networks, Data Visualization, Data Mining

Expectations

I have 5+ years of analytics and data science experience, helping clients make data driven decisions and will be graduating this spring from my MS in Business Analytics from. I am skilled in Python, R, SQL and Tableau and ML techniques. I am looking for any suitable roles in the consulting, healthcare, product, analytics and data science space in the US with Competitive compensation and benefits and clear career growth opportunities

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• SQL
• R
• Python
• PySpark
• Databricks
• Snowflake
• Spark ML
• Hive
• Hadoop
• Tableau
• Power BI
• Jira
• Advanced Statistics
• A
• B Testing
• Causal Inference
• Experimentation
• Supervised
• Unsupervised Machine Learning Techniques
• Dimensionality Reduction
• Hyperparameter Tuning
• Neural Networks
• Data Visualization
• Data Mining