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Smitha Pulla is listed as Data Analyst | AI Resident @ Apziva | Machine Learning at Apziva, a company with 18 employees, based in Doha, Qatar, Qatar. AeroLeads shows a matched LinkedIn profile for Smitha Pulla.
Smitha Pulla previously worked as AI Resident at Apziva and Consultant at Upladder Consultancy. Smitha Pulla holds Post Graduate In Data Science And Business Analytics, Data Science And Business Analytics, Excellent from Texas Mccombs School Of Business.
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🔍 About Me: Data Analyst | Data Science Enthusiast | Business Analyst | Engineering Graduate🌟 With over 12 years of diverse experience spanning banking, nonprofit sectors, electronics, and IT recruitment, I bring a well-rounded perspective to data-driven roles. Highly adept in translating complex data into actionable insights and stories, I thrive on challenges and am committed to leveraging data for business success.📊 Professional Expertise:• Data Science and Analytics: Successfully completed a Postgraduate program in Data Science and Analytics with an 88% grade, including a Capstone Project scored at 99%. My projects have encompassed a variety of tools and techniques including:• Machine Learning (Supervised and Unsupervised Learning, Ensemble Techniques, Feature Selections)• Advanced Analytics (Regression Analysis, SVM, PCA, KNN, Recommendation Systems)• Programming and Database Management (Python, R, SQL)• Data Visualization and Big Data Technologies👥 Industry Experience:• Banking and Financial Services• Non-Profit Organization Management• Electronics• IT Recruitment and Business Development💼 Recent Roles:• Data Science Internship at Yoshops: Gained hands-on experience in practical applications of machine learning models and data analysis techniques.• Data Analysis Industry Training from Brainnest, Germany: Enhanced my analytical skills through intensive training, focusing on statistical analysis and predictive modeling.• Data Science Intern at MedTourEasy MNC: Implemented advanced machine learning algorithms to improve and streamline business processes.🛠 Skills and Technologies:• Core Technologies: Python, R, SQL, TensorFlow, Neural Networks• Data Science: Machine Learning, NLP, Deep Learning, Data Analytics• Statistical Modeling: Linear/Logistic Regression, Decision Trees, Random Forest, SVM• Clustering and Dimensionality Reduction: K-Means Clustering, PCA📝 I am actively seeking opportunities that will allow me to bring my background in engineering and data science to solve real-world problems efficiently. Let’s connect!🔗 My Detailed Portfolio🔗 Additional Projects and Certifications
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Ankara, Turkey
"Apziva empowers professionals from all around the world by providing a unique platform for individuals to work on challenging real-world projects and gain experience under the guidance of industry expert mentors. With a growing network of talented individuals, mentors, and leading organizations.As an AI Resident at Apziva: Working on designing, and.
India
Germany
Creating an effective survey for data analysis.Testing data validation.Determining the correlation between different variables (by conducting t-test and ANOVA).Learning statistics with real case scenarios using PSPP (the same program as IBM SPSS).
A bank's consumer credit department aims to simplify the decision-making process for home equity lines of credit to be accepted. To do this, established an empirically derived and statistically sound model for credit scoring. The model will be based on the data obtained via the existing loan underwriting process from recent applicants who have been given.
India
Responsibilities: Call barging and giving constant feedback to improve quality of calls. Supervising a team of 20 Tele callers in GE Money Personal Loans Process. Data analysis and segregation according to locations. Conducting daily hurdles, one-to-ones and group meetings etc. MIS analysis of Tele callers. Client interaction and coordination with GE.
India
Responsibilities: Assistant team leaders assist the team leader in hiring, training, and supervising staff members and sales teams. This includes assigning individual work tasks and assessing employee work performance.
India
India
Responsibilities: Test Engineers are responsible for designing and implementing the tests that ensure the quality and the functionality of a product. They are involved in all phases of the testing program, from designing the test parameters to troubleshooting errors, and writing up final test procedures
Other employees you can reach at apziva.com. View company contacts for 18 employees →
Semih Yagcioglu
Colleague at ApzivaÇankaya, Ankara, Türkiye, Turkey
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KK
Kevokartel Kevo
Colleague at ApzivaNairobi, Nairobi County, Kenya, Kenya
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Farid Shahnavaz
Colleague at ApzivaSan Diego, California, United States, United States
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IG
Isaac Ghebregziabher, Ph.D.
Colleague at ApzivaPhiladelphia, Pennsylvania, United States, United States
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ME
Mary Essien
Colleague at ApzivaAbuja, Federal Capital Territory, Nigeria, Nigeria
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MJ
Michele Jean-Louis
Colleague at ApzivaGreater Boston, United States
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JE
Jacob Evans
Colleague at ApzivaMississauga, Ontario, Canada, Canada
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EP
Egor Petrov
Colleague at ApzivaBoston, Massachusetts, United States, United States
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MH
Mumtaz Hussain
Colleague at ApzivaBaltimore, Maryland, United States, United States
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JH
Japhet H.
Colleague at ApzivaMexico City, Mexico, Mexico
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Quick answers generated from the profile data available on this page.
Smitha Pulla works for Apziva.
Smitha Pulla is listed as Data Analyst | AI Resident @ Apziva | Machine Learning at Apziva.
Smitha Pulla is based in Doha, Qatar, Qatar while working with Apziva.
Smitha Pulla has worked for Apziva, Upladder Consultancy, Medtoureasy, Brainnest, and Yoshops.Com.
Smitha Pulla's colleagues at Apziva include Semih Yagcioglu, Kevokartel Kevo, Farid Shahnavaz, Isaac Ghebregziabher, Ph.D., and Mary Essien.
You can use AeroLeads to view verified contact signals for Smitha Pulla at Apziva, including work email, phone, and LinkedIn data when available.
Smitha Pulla holds Post Graduate In Data Science And Business Analytics, Data Science And Business Analytics, Excellent from Texas Mccombs School Of Business.
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