GousiaKhanam

• Created various dashboards & scorecards using Tableau.
• Orchestrated on complex SQL queries to handle the data logic.
• Leveraged python libraries to process various data formats includes rest API’s, Json, csv’s.
• Good experience with Qualtrics survey data, and created many dashboards in tableau for Qualtrics Survey.
• Carried out training to multiple students on SQL / Python / Tableau.

Built a Med-Bot using Llama2 and LangChain for medical query processing.
Developed a regression model for house price prediction using Python, integrated with an API.
Conducted time-series forecasting using ARIMA and SARIMAX techniques for air passenger data.
Led EDA and classification tasks using ROC and confusion matrix for bank client data analysis.

• Involved in simple Med-Bot building using Llama2, a powerful tool designed to provide medical information by answering user queries using state-of-the-art language models and vector stores. LangChain integrates with Llama2, allowing to leverage capabilities in our application.
• Successfully created a simple end to end application to develop a machine learning algorithm to predict the price of the house using Linear Regression model, used GitHub to push the code. Created an API in the local development environment using the pickle file of the Linear Regression model for the Boston House data set. The application opened successfully on the local IP address port.
• Accomplished the case study for Air passengers sample data set to forecast for the next 6/12-months. Used various techniques like MA, WMA, Exponential Moving Average (EMA), ARIMA, SARIMAX to get the best result of forecasting data. Found EMA and SARIMAX to be best techniques with less error.
• Analyzed a Scribe Client bank data (EDA), which was a classification problem to predict whether the client can deposit or not. Analyzed the test data results with trained data using confusion matrix, ROC curve etc.

• Orchestrated as project coordinator of a web application project, EMS (Event Management System). This required my involvement in coordinating with the stakeholders of Public Relationship Department and technical team.
• Facilitated User Acceptance Testing activity and shared insights with the technical team to accordingly make corrections basis priority before going live.
• Analyzed the business requirements w.r.t the reporting of the events frequency and their outcome.
• Provided Hands on Training to the Client as part of user adoption plan. It helped the clients to get aboard easily to use the application in real time

• Assisted in the development of multiple database projects for different customers.
• Gathered all necessary departmental requirements from multiple business analysts, subsequently developing physical data models.
• Worked on Database queries extensively which includes joins, sub-queries, procedures, functions.
• Created Stored Procedures, functions to give the required outcome to feed into the application and for reporting purpose.
• Drove 97% stability, reliability and performance by optimizing the application SQL statements and designing user-focused databases.
• Repeatedly shown the skills to complete the projects on tight timelines.

• Writing test cases as per BRD defined in product requirement document.
• Manage project through status meetings, weekly reports, identifying risks, and tracking issues.
• Actively involved in reviewing test cases and executing test cases.
• Maintaining daily status reports of test execution for the respective modules.
• Active participation in the weekly status update meeting.
• Involvement in creating Feature, Requirements, Test Cases and reporting Bugs on Azure Dev Ops.
• Extensively performing manual testing to ensure the quality of software