Associate Analyst with experience in data analysis, SQL, MS Excel, Python, and data visualization. Worked on data wrangling, data cleaning, exploratory data analysis, web scraping, and reporting across projects and an in…
Associate Analyst with experience in data analysis, SQL, MS Excel, Python, and data visualization. Worked on data wrangling, data cleaning, exploratory data analysis, web scraping, and reporting across projects and an internship, with exposure to Tableau, Pandas, NumPy, Matplotlib, Seaborn, and PostgreSQL.
• Responsible for Data wrangling, Data Analysis and interpretation using SQL, MS Excel, and Python libraries - NumPy, Pandas.
• Data Handling – including extraction, cleaning, profiling, mapping, validating and modeling.
• Demonstrated strong problem-solving skills, analytical thinking, and decisive decision-making abilities in various challenging scenarios.
• Leverage Statistical techniques to create solution to support business.
• Applied descriptive statistical techniques such as univariate and multivariate analysis to discern measures of central tendency and data dispersion.
• Accountable for generating data visualizations employing Matplotlib and Seaborn libraries.
• Executed target profiling leveraging pandas to detect data imbalance.
• Performed web scraping operations across various online platforms to extract and gather data.
• Tasked with developing visual representations utilizing Tableau.
Configured and managed computer systems and software applications.
Utilized MS Excel and SQL for data retrieval and manipulation from relational databases.
Troubleshot software anomalies and system glitches promptly.
Documented system configurations and generated comprehensive reports on system performance and requirements.
Delivered technical support to end-users, diagnosing and resolving issues.
Conveyed technical concepts to end-users and stakeholders.
Facilitated collaboration among cross-functional teams, vendors, and stakeholders to attain shared objectives and milestones.
Extracted 874 product listings from the Flipkart website into Jupyter Notebook using bs4, BeautifulSoup, and requests in Python.
Utilized Pandas to perform data cleansing and manipulation tasks.
Applied advanced data imputation techniques to address missing values.
Utilized statistical methodologies to analyze and derive insights from datasets.
Conducted exploratory data analysis (EDA) and in-depth data analysis using Pandas.
Created over 10 data visualizations using Matplotlib and Seaborn.
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