"Entry-level data enthusiast with a strong academic background
in data analytic and data science . Proven ability to collect,
clean,Visualize and analyze data using SQL, Excel, Power Bi,Tableau
Python and Machine learning(ML). Eager to learn and grow in the field of data analysis
and use my skills to help businesses in the industry make better
decisions."
About Me
Hello! i’m Sham Tange .
As a data enthusiast, I've embarked on a promising journey in the
realm of data analytics and data science. My internship
experiences at IBM and Acmegrade have equipped me with a solid
foundation. At IBM, I delved into the intricacies of data
analysis, harnessing the power of data to enhance business
operations. As a Data Science Intern at Acmegrade, I harnessed my
analytical skills to dissect superstore data, unveiling insights
that led to business optimization. I'm passionate about leveraging
data-driven solutions, and my portfolio reflects my dedication to
unraveling the potential of data for informed decision-making.
I Am Available For Work.
Work Experience
Data Analyst Intern @Unified Mentor Private Limited
"Generated Power BI dashboards and conducted in-depth data analysis to provide valuable insights for business decision-making."
• Developed interactive visualizations to highlight key metrics and trends for stakeholders.
• Performed data cleaning, transformation, and exploratory analysis using SQL and Python.
• Assisted in automating reporting processes to improve efficiency and accuracy.
Data Analytics Intern @IBM
"Collaborated with IBM's Data Analytics team to analyze and interpret complex datasets to extract actionable insights."
• Utilized Python to clean, preprocess, and analyze large volumes of data, contributing to the optimization of internal processes.
• Created interactive data visualizations using Power BI to facilitate better understanding of trends and patterns for stakeholders.
• Assisted in developing reports and dashboards for senior management, enhancing data-driven decision-making.
Data Science Intern @Acmegrade
"Conducted in-depth analysis of superstore data, deriving valuable insights to optimize business operations and enhance overall performance."
• Utilized data cleaning and preprocessing techniques with libraries like Pandas and NumPy to ensure data accuracy and consistency.
• Contributed to team discussions and brainstorming sessions, offering innovative solutions and ideas to address data challenges.