Sri Navya Guduru

Data Analyst with 4+ years of experience and expertise in data analysis and visualization. Proficient in analyzing large datasets, developing predictive models, and creating interactive dashboards using Tableau and Power BI. Collaborates with cross-functional teams to gather data needs and deliver actionable insights for process improvements. Experienced in business analysis across corporate banking and technology sectors, successfully automating processes and providing design solutions. Strong foundation in financial analysis gained through internship at IDBI Bank. Skilled in Python and SQL for predictive modeling and data manipulation, with hands-on experience in projects like Bitcoin price prediction and customer personality analysis. Certified in data science and analytics simulations, demonstrating ability to apply theoretical knowledge to real-world scenarios. Committed to continuous learning, utilizing analytical tools to drive business success and optimize operational performance.

• BCGX Data Science Simulation on Forage, Involves business understanding, hypothesis framing, and exploratory data analysis using Python.
• Quantium Data Analytics Simulation on Forage, Showcasing proficiency in data preparation, customer analytics, and deriving insights from transaction datasets.
• British Airways Data Science Simulation on Forage, Executed a data science simulation emphasizing its critical role in British Airways' success.
• KPMG AU Data Analytics Job Simulation on Forage, Concluded a simulation guiding client customer targeting the Data, Analytics & Modeling team.
• Cognizant Artificial Intelligence Simulation on Forage, Executed exploratory data analysis with Python and Google Collab for Gala Groceries.
• PCEP - Certified Entry-Level Python Programmer
• LinkedIn Python Essential Training
• Google Analytics 4

BITCOIN PRICE AND TRADE STRATEGY PREDICTION

Designed and executed a simulation project utilizing PySpark to analyze minute-to-minute Bitcoin pricing data. Developed a simplified High-Frequency Trading (HFT) strategy, including tick data analysis, signal generation, and backtesting. Simulated trading performance, integrated transaction costs, and assessed strategy effectiveness through performance metrics. 

SEMRUSH KEYWORD RESEARCH & CONTENT MARKETING

Led a comprehensive Keyword Research & Content Marketing initiative, strategically identifying high-impact keywords to optimize online visibility. Developed and executed targeted content campaigns, resulting in increased organic traffic and improved search engine rankings. 

PREDICTIVE MODEL FOR HOUSING PRICES

Performed data cleaning, data imputing, analyzing the data on factors that affect and have an impact on housing prices. Based on analysis, a model fitting and built a predictive model to get the sales price of a house using Python. 

CUSTOMER PERSONALITY ANALYSIS

Using company customer data to analyze the purchasing patterns and customer analysis to better market the product and customize their offerings to the targeted segments. Have done the project using R. 

PREDICTIVE MODEL FOR TITANIC SURVIVAL

Performed data cleaning and imputing, data analysis, data modelling and testing the data on the built model. 

PREDICTIVE MODEL FOR THE LENGTH OF HOSPITAL STAY (LOS)

Performed data analysis to learn the factors that affect and have an impact on LOS. Based on the analysis a model fitting and built a predictive model to estimate the LOS using Python. 

BUILT AN INVENTORY MANAGEMENT SYSTEM

Using SQL built an Inventory Management System for real time tracking, to streamline operations and effective management. 

SLEEP HEALTH AND LIFESTYLE

Conducted an in-depth analysis using Exploratory Data Analysis (EDA) on a comprehensive dataset encompassing sleep patterns and health metrics. Investigated the relationships between sleep duration, quality, and various lifestyle factors (physical activity, stress, etc.). 

MARKET RESEARCH ON THE PSYCHOLOGICAL IMPACT OF WEIGHT-LOSS CAMPAIGNS IN ADVERTISING

Prepared survey questionnaire and analyzed the results using SPSS.

INDUSTRIAL ANALYSIS PROJECT

Analyzed the performance of the Food & Beverage industry and presented a report as a group. Conducted financial forecasting for a dairy products company, performed marketing analysis, Operational Analysis, Logistics & supply chain effect on its business.