Arpitha Krishna Murthy Email & Phone Number
@aetna.com
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Arpitha Krishna Murthy is listed as Data Analyst | Women in Tech | Change maker at Aetna, a CVS Health Company, based in Tempe, Arizona, United States. AeroLeads shows a work email signal at aetna.com and a matched LinkedIn profile for Arpitha Krishna Murthy.
Arpitha Krishna Murthy previously worked as Senior Informatics Analyst at Aetna, A Cvs Health Company and Data & Analytics Engineer at Marsh & Mclennan Companies. Arpitha Krishna Murthy holds Master'S Degree, Business Analytics from W. P. Carey School Of Business – Arizona State University.
Email format at Aetna, a CVS Health Company
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About Arpitha Krishna Murthy
I am an experienced Data Analyst, Master’s degree in Business Analytics at W.P. Carey School of Business. Well versed in core concepts of Statistics, Data Science, Quality Management, Decision Modeling, Marketing Analytics and Business Strategy.I have about 5 years of industry experience in IT industry and startup experience.Skillset: Languages: C, Python, SQL, R Databases: MySQL, Postgre, OracleData Science: Forecasting, Regression, Machine Learning(Classification & Clustering algorithms), Customer Segmentation, Sentiment Analysis, Text Mining, NLP, Market Analytics.Software: Tableau, AzureML, MiniTab, Palisade, @RISK Decision Analysis, SPSS, Kofax, Open Text Streamserve, HP-UFT, HPQC, JIRA, Confluence, MS Excel, Kanban.Source Control: SVN, GitTechnical Ability: Data Analytics, Business Intelligence, Data Warehousing, Process Optimization, Data Quality Management, Data Science, Decision Modeling, Quality Assurance.Email: akrish71@asu.edu
Listed skills include Data Analysis, Tableau, Datascience, Python, and 37 others.
Arpitha Krishna Murthy's current company
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Arpitha Krishna Murthy work experience
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Data & Analytics Engineer
Graduate Technical Analyst
Data Analytics Consultant
Data Science Project Intern
Text Mining(Multi Label Classification) – Python, TableauObjective: Categorization of new influencers based on their social media posts. There are 35 different Influencer categories ranging from Automotive, Food & Beverage, to Beauty and Celebrity influencers.1. Performed exploratory data analysis on influencer profiles, Tiers, Tweets and Instagram posts, derived insights which helped FYI to focus on discrepancies seen in the data collection/missing influencer categories etc.2. Created custom pre-processor for data pre-processing(data cleaning, remove stop words/short words/numbers/special characters/white space, stemming, Lemmatization) and to extract key words from the text.3. Data Merging: Merge significant features from different sources of data, merge Tweet and Instagram texts, drop NULL/Empty values4. Data Preprocessing: Remove non-english keywords(other languages like, Arabic, Chinese, Hindi etc) 5. Data Prep: Used "MultiLabelBinarizer" to vectorize 35 different categories/labels(35 labels). Used tfidfvectorizer/Word2vec to vectorize Tweets and Instagram keywords(21,000 keywords).6. Trained OneVsRestClassifier(Decision Tree/Logistic Regression/Multinomial Naive Bayes) with train data. Also, used ClassifierChains(Decision Tree/Logistic Regression) on multi label dataset.7. Model with TFIDF to vectorize the features and classifier chain with Logistic Regression performed the best compared to other models.
Co-Founder & Analyst
1. Designed and implemented transactional database using MySQL for e-commerce application. 2. Provided ethnic food services in the Phoenix valley, scaled to 18 different customers in a span of 3 weeks and generated more than $ 2000 in revenue. Implemented “business to feed business model”3. Performed numerous surveys to capture and analyze customer preferences for ethnic food services. 4. Congregated various data analytics and established operational optimization metrics and marketing strategies. 5. Front end to all the communication channels, attending meetings, coordination & collaboration between ASU Venture Devils and CrispFoods team.6.Developed a set of metrics derived from raw company data to track improvements in organizational efficiency.Check out: TryCrispFoods.com
Analyst, On-Site Germany
1. Utilized Python and SQL to perform trend analysis for about 50,000 plus customer applications using aggregate functions. Performed weekly, monthly and quarterly trend analysis of customer applications to actual car sales conversion rate using data aggregations rendered into files.2. Managed quality analytics cycles, including test plan creation, development of Python scripts and coordinated user acceptance testing.3. Partnered with Program leads and Software architects, on-site in Germany and defined business processes and produced data flow and data mapping between multiple modules of the application. 4. Mentored a team of three consultants off-shore while working on-site in Germany on time critical deliverables. 5.Prepared and presented Key Performance Indicators to the management team to help monitor project progress 6. Conducted interviews with key business users to collect information on business processes and user requirements. 7. Managed testing cycles, including test plan creation, development of scripts and co-ordination of user acceptance testing. Used SQL and TOAD software for data validation. 8. Recommended operational improvements based on tracking and analysis.
Software Analyst
1. Utilized MS Excel spread sheets to create Pivot tables and provide storage space requirement metrics and helped operations team to optimize the storage needs and maximize the space utilization.2. Performed Manual and Automation testing for new onboarded customers, enhancements and customizations for Kofax and Globalscape tools.3. Designed and developed 200+ Test Strategy, Test Plan documents, Release Notes, Test Metric reports. 4. Experienced in all phases of Software Test Life Cycle and Agile Methodologies. 5. Multiple appreciations for effectively collaborating with cross functional, multi-cultured and different geographical teams. 6. Designed and implemented complex SQL queries for reports and data validation. 7. Worked closely with clients to identify their needs and challenges and provide solutions-oriented campaign themes. 8. Assessed the impact of current business processes on users and stakeholders. 9. Conducted numerous knowledge sharing sessions to capture “Lessons Learned” and streamline the product improvement process.
Arpitha Krishna Murthy education
Master'S Degree, Business Analytics
Bachelor Of Engineering - Be, Electronics And Communication
Frequently asked questions about Arpitha Krishna Murthy
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What company does Arpitha Krishna Murthy work for?
Arpitha Krishna Murthy works for Aetna, a CVS Health Company.
What is Arpitha Krishna Murthy's role at Aetna, a CVS Health Company?
Arpitha Krishna Murthy is listed as Data Analyst | Women in Tech | Change maker at Aetna, a CVS Health Company.
What is Arpitha Krishna Murthy's email address?
AeroLeads has found 1 work email signal at @aetna.com for Arpitha Krishna Murthy at Aetna, a CVS Health Company.
Where is Arpitha Krishna Murthy based?
Arpitha Krishna Murthy is based in Tempe, Arizona, United States while working with Aetna, a CVS Health Company.
What companies has Arpitha Krishna Murthy worked for?
Arpitha Krishna Murthy has worked for Aetna, A Cvs Health Company, Marsh & Mclennan Companies, Arizona State University, Siemens, and Find Your Influence, Inc.
How can I contact Arpitha Krishna Murthy?
You can use AeroLeads to view verified contact signals for Arpitha Krishna Murthy at Aetna, a CVS Health Company, including work email, phone, and LinkedIn data when available.
What schools did Arpitha Krishna Murthy attend?
Arpitha Krishna Murthy holds Master'S Degree, Business Analytics from W. P. Carey School Of Business – Arizona State University.
What skills is Arpitha Krishna Murthy known for?
Arpitha Krishna Murthy is listed with skills including Data Analysis, Tableau, Datascience, Python, Spss, Jira, Data Mining, and Microsoft Excel.
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