Kinthali Jhansi

Dedicated and results-oriented professional seeking opportunities as a Data Analyst, Data Scientist, or Machine Learning Engineer in an innovation-led team. Passionate about leveraging data-driven insights to solve complex problems and drive strategic decision-making.

• Pursuing Scaler's Data Science and Machine Learning (DSML) course, with completion of the data analysis segment and ongoing focus on the Machine Learning component. actively engaged in real-world business case studies to hone key data analysis skills.
• Successfully completed my PRP training with 82% score in Wipro Technologies.
• Completed Python Scripting L1 & L2 from Nov 2022- Jan 2023
• Completed Python Immersive training (Selenium) in Wipro from Feb to April 2023.

• 2019 : Led the Women's Basketball team of IIIT, Nuzvid.
• 2015 - 2018 : Served as a cadet of NCC and actively participated in digital literacy and Swachh Bharat.
• Campaigns in rural areas of Andhra Pradesh.

FedEx Project (Wipro Technologies)     Jan/2024 - Present

• Working for FedEx Ground Services.
• FedEx Ground provides reliable and cost-effective shipping services, delivering packages within 1-5 business days across the United States and Canada based on distance.
• Providing support to field workers, troubleshooting application issues, and overseeing onsite user database maintenance and monitoring.
• We conduct backend updates to the user database in response to user requirements and incidents.

Data Engineer (Wipro Technologies)     Sept/2023 - Sept/2023

• Trained as a Data Engineer in Python, Spark, MySQL,
• Processing the files from source to destination location as per business requirements.
• Utilized various technologies relevant to data engineering, including Spark, Python SQL, and Excel.
• Additionally skilled in data visualization, tools such as Tableau, Excel Advanced.

SQL Project (Scaler) : Description: Conducted comprehensive data analysis for a top American retailer, with a focus on their Brazil operations. Leveraged SQL to extract.ject

• Delivered actionable insights by exploring datasets and identifying e-commerce trends, optimizing business strategies.
• Analyzed orders, visualizing regional distribution and economic impact, while investigating sales dynamics, delivery times, and payment methods.
• Generated insights driving strategic improvements; data-driven decisions enhanced marketing, supply chain, and customer service, boosting satisfaction and efficiency for improved business performance.

Data Analytics: Pharma Trends Analysis for Growth Opportunities

• Conducted comprehensive analysis of pharmaceutical industry trends to identify avenues for growth using Tableau , Microsoft SQL server.
• Utilized various data sources including global pharmaceutical market data, latest research and development insights, and evolving patient needs.
• This information has the potential to uncover new market opportunities, drive product innovation, and enhance marketing strategies for both new and existing products.

Online Mechanic Locator (RGUKT, Nuzvid)

• Developed a web application using MangoDB,Django, PHP Web Server technoliges, facilitating quick access to nearby mechanics during vehicle breakdowns by displaying their details based on the breakdown location.

Pizza Sales Analysis:

• The report identified top-selling products, giving the restaurant chain clarity on what items drive revenue.
• It revealed customer preferences, helping the chain tailor offerings to match what customers love.
• By pinpointing growth opportunities, such as untapped markets or menu adjustments, the report guided strategic decisions, enhancing the chain's competitiveness.
• Tools and Technologies: Tableau, Microsoft SQL server, Excel.