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Empire MG inc.- Prime Flight- Travelers Aid (PHL)
Customer Operations/Sales and Hospitality/Product Management
- Business development and process improvement involving customer management/engagement leading to effective stakeholder and customer acquisitions, CRM through application monitoring, documentation and analytics.
- Built a healthy and collaborative customer relationship along with the concerned stakeholders including TSA, Police, aviation services, airlines etc. according to specific policies. Achieve the best contractual conditions while also ensuring customer satisfaction. Has knowledge of best practices, Tech savvy, critical thinking, problem solving, understanding industry trends, and how their area integrates with others; is aware of the competition. Support the development of Category Strategies which are robust enough to meet evolving business requirements.
TATA Consultancy Services
Systems Engineer - Business/Data Driven Project
- Identified which independent variables (over the data set) appear to have greatest impact on home valuation, and the nature of the relationship. Based on final model, gave forecast prediction and confidence intervals. Followed evaluating nature of data dependent or independent, putting data summary, scaling the limits of data summary, scaling variables for plots, Box plots for outlier Gap check, Scatter plots and interpretations, hypothesise the proposed regression model, developing regression model fitted coefficients, testing regression model predictive ability, performing validity checks on various parameters including independence of error, equal variance, normal distribution, checks for no unduly influential outliers et al. Further, characterising uncertainty and significance for regression model coefficients.
- Impact: Using regression model and based on provided data set it was found that the highest corrected median value of owner-occupied homes could be predicted between prices of 51,568 and 64,011, with 95% confidence. About 86% of the variation is supported by the reg.
- Characterised effectiveness of LDA, K-NN, neural network and logistic regression classification methods for predicting default as a function of the predictor variables student, income, and balance. Made a recommendation on whether any or all are useful. This was carried through evaluating nature of data dependent or independent, putting data summary, scaling the limits of data summary, scaling variables for plots,Box plots for outlier Gap check, Scatter plots and interpretations, hypothesise the proposed regression model, developing multiple regression model including the Linear, K-Fold cross validation, Gaussian process model, Neural Network model fitted coefficients, testing and compared regression model predictive ability, performing validity checks on various parameters including independence of error, equal variance, normal
distribution, checks for no unduly influential outliers et al. Also, performing the SMOTE LDA classification as
a solution for imbalance in the sample. - Impact: Using regression model comparison it was found that LDA with SMOTE is recommended for predicting default as it can improve the recall and sensitivity of the model and it has more balanced accuracy, Informedness than the other models. Hence, recommend the LDA model as per the sample to the management for classification because its Accuracy is the highest of all which is 0.972 and its compute time is the least among all other methods which is 2.37.
- Examined the SDGE (SanDiego Electricity) time series data and made a preliminary recommendation on best forecast approach for predicting hourly energy use one month in advance. Examined the double exponential(DEWMA) and double seasonal Holt Winters (DSHW) time series forecasting models in the SanDiegoElectricity through Creating DEWMA and DSHW Forecasting model, prepared accuracy measure on training data, analyse accuracy measures of error on training set followed by performing validity checks and interpretation.
- Impact: The RMSE, MAE, MAPE values in DEWMA model are:76893.95, 66567.42, 3468.472, respectively.By comparing with value below in DSHW model, it was found that DEWMA had a much larger uncertainty error in prediction. The RMSE, MAE and MAPE values in the DSHW model found :217.36,152.15 and 7.81 respectively. Leading to prefer DSHW time series forecasting method for predicting hourly energy use a month in advance for California ISO.
- Financial Data Analysis using the data on the production costs and profits over a 16 month period for a
manufacturer with international customers using Power BI tool. Created dashboards using meaningful insights
into the company’s sales and financial position. - Using the MS Excel Descriptive analytics and based on given data from an EduToy company Categorised the customers based on age and gender. Along with determining the spend amounts that fall in the top 20% of all transactions (in dollars). Also, determined the products that generated the sales revenue falling in the top 25% of all revenue contribution in the sample, reported the current inventory level, quantity of order and supplier of each of these best-selling products. The data was also used to find out the proportion of all given transactions that were conducted through the use of different credit card like American Express, Discover, MasterCard and Visa.
- Using Prescriptive Analytics involved in creating Excel Macros, VBA to create function helping to avoid
repetitive tasks. Decision- making through solver for optimisation and transport/sales planning. Decision
Analysis through Decision Tree construction driving the best possible route to follow in production sequence.
Data Insights To Presentation
Systems Engineer - Developer
- Provided bug fixing,support and development of newly generated user data fields as per Business requirement.
- Creation and Customising of new UI changes and loading the fetched data from UI to Database through Ajax.
- Enhancements to the Downloadable Form data that customer can directly use. Worked and handled client’s
ever-changing requirements along with additional assigned tasks. - Impact: Achieved the expected client requirements on the development with less than10% testing errors
Assistant Systems Engineer— Client: Leading European Bank
- Induction and overview of different policies existing in the Organization including Technical skills, Soft skills
as well as Personal Overall Development. Technical training in Core Java, DBMS, HTML, CSS validated
through extensive Exit Assessment. - Introduction to Agile Methodologies in the Development Operation life-cycle. Also gained, hands-on
experience with Continuous Integration and Deployment tools like Jenkins, Maven build tool, Apache Tomcat
Server, Bit bucket as part of DevOps training.
The Pennsylvania State University
Administrative Assistant for Research and Development (AgScience)
- Content Management and administration research for the University Official Grant listings. Technically
updating and researching Grants through trusted sources. - Technology depended Database updating and record creations.
Teaching Assistant (TA) - ENGR501,BA411,EE420
- Graded the submission as per the defined protocols. Held doubt session as and when a student required
- Taught the course and Consulted the students with all the doubts regrading the course work. Updated the
course material and made announcements related to the courses.
Skills and Coursework
- Tools: C++, Core Java, HTML5, JavaScript, JSON, Python,R,Oracle Sql, MSExcel, MsOffice,MSProject, Verilog, Software
Development Life Cycle (SDLC),Six Sigma, Analytics,CAPSIM,Strategy, Operations and Management. - Coursework and tool: Anaconda,Sql Developer, Eclipse, WinSCP,Probability and Statistics,Tableau, ProjectLibre,
PowerBI, Mailchimp, Lasso, Plone,File maker, Adobe Illustrator, VBA
Internship
- Maven Silicon Bengaluru, India
Design and Verification Trainee July 2018 – May 2019
◦ VLSI Project: Designed the AHB to APB bridge as an AHB slave which converts AHB transactions to APB
transactions by implementing pipelining at the AHB slave interface. Thus, the bridge supports AHB burst
transfers.Architected the block level structure for the Router design and verification. - Delhi Metro Rail Corporation Delhi, India
Industrial Intern June 2017 – July 2017
◦ Real-time experience of working mechanism inside well established Indian Government metro operations
including Signalling,Automated fare collection (AFC),fiber-optic transmission system (FOTS).
Awards and Extra-curriculars
- Nationally (USA) placed and acknowledged for the ACRP (Airport Cooperative Research Program) design challenge
for implementing a solution based on ”Environmental Interaction Storm-water management.” - Member of (ECSA)Electronics and Communication Student Council (2016-2017) in College
- Runner up award in Inter- Department Chess competition. Senior Co-ordinator in Annual College Fest KAALRAV.
Diverse Team collaboration
